Citations

Increasing evidence strongly links neuroinflammation to Alzheimer’s disease (AD) pathogenesis. Peripheral monocytes are crucial components of the human immune system, but their contribution to AD pathogenesis is still largely understudied partially due to limited human models. Here, we introduce human cortical organoid microphysiological systems (hCO-MPSs) to study AD monocyte-mediated neuroinflammation. By culturing doughnut-shape organoids on 3D-printed devices within standard 96-well plates, we generate hCO-MPSs with reduced necrosis, minimized hypoxia, and improved viability. Using these models, we found that monocytes from AD patients exhibit increased infiltration ability, decreased amyloid-β clearance capacity, and stronger inflammatory response than monocytes from age-matched control donors. Moreover, we observed that AD monocytes induce pro-inflammatory effects such as elevated astrocyte activation and neuronal apoptosis. Furthermore, the marked increase in IL1B and CCL3 expression underscores their pivotal role in AD monocyte-mediated neuroinflammation. Our findings provide insight into understanding monocytes’ role in AD pathogenesis, and our lab-compatible MPS models may offer a promising way for studying various neuroinflammatory diseases.

Objectives: To describe changes in the International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) exam in sublesional motor and sensory domains following short-term epidural electrical stimulation of lumbosacral spinal segments in individuals with spinal cord injury (SCI). Methods: Twenty individuals with SCI underwent implantation of percutaneous epidural spinal cord stimulation followed by stimulation parameter optimization and 10-12 sessions of stimulation-enabled motor training. Pre-/postintervention ISNCSCI exams were compared to determine changes in motor/sensory scores for regions within 3 levels of the neurological level of injury (NLI) and caudal to this, with subanalyses per motor/sensory complete versus incomplete baseline status. Results: Individuals with motor complete SCI gained 6% ± 3% of available motor points within 3 levels of NLI and 1% ± 0% of motor points caudal to this ( P = .08). Motor incomplete individuals gained 9% ± 22% of available motor points within 3 levels of NLI and lost 4% ± 7% of motor points caudal to this ( P = .63). Following stimulation, changes in motor scores with potential high functional impact occurred in 3 individuals (5 total muscle groups with conversion from baseline <3/5 strength to ≥3/5 at completion). Individuals with sensory complete SCI had fewer sensory gains within 3 levels of NLI (6%) compared to those with sensory incomplete SCI (30%, P = .02). Discussion: Spinal cord stimulation after SCI rapidly induces changes in both motor and sensory domains that are retained after stimulation is removed. These changes primarily occur within 3 levels of the NLI and occur to a greater degree in those with incomplete SCI.

Study Design: A panel of 13 clinicians with experience in dermatology and primary care was assembled to review literature regarding the diagnostic workup of scarring and nonscarring alopecias. The literature for review included clinical trials, meta-analyses, systematic reviews, and previously published guidelines from the last 10 years. After review, the panel drafted a list of consensus statements and then voted on these statements using a modified eDelphi method in order to verify the validity and clarity of each statement. Objective: Our objective, as a panel, was to formulate a clear set of guidelines in the workup of various forms of hair loss by a systematic review of clinical data and literature on the matter. Background: Hair loss is a common and frustrating medical concern for patients worldwide and accounts for significant health care utilization and cost. Moreover, hair loss may present as a symptom of an underlying medical condition requiring attention and treatment. Results: After review, the panel reached a total of 22 consensus statements regarding recommendations for diagnostic testing in the setting of hair loss, 17 of those statements focused on nonscarring alopecias, and 5 statements directed toward scarring alopecias. The statements were evaluated by members of the panel and voted on through a modified eDelphi method and discussed in an open forum. Conclusion: The panel’s review revealed that the diagnostic laboratories and/or scalp biopsy should be considered to varying degrees depending on the type of hair loss at presentation. If there is concern for a scarring process, a biopsy should be strongly considered, while serum laboratory work may be of little benefit. In nonscarring alopecias including alopecia areata, telogen effluvium, and androgenetic alopecia, the literature supports ordering certain serologic tests based on the type of hair loss at presentation.

This cross-sectional study examines the lawsuits that followed national and international policies for pembrolizumab approval.

Background: Intracardiac thrombosis (ICT) during liver transplantation (LT) is a rare but life-threatening complication with limited data regarding its risk factors, management, and outcomes. This study aimed to identify factors associated with ICT development, define predictors of intraoperative outcomes, and propose a novel classification and management algorithm for ICT. Methods: A multicenter, international retrospective case-control study was conducted on liver transplant recipients from seven centers between January 2005 and December 2023. ICT cases were identified through transesophageal echocardiography (TEE) or autopsy and matched 1:1 with controls. Results: Among 11 077 liver transplant recipients screened, 133 patients (1.2%) developed ICT. ICT occurred predominantly after reperfusion (58%). Compared to controls, ICT cases exhibited higher preoperative international normalized ratio ( P = 0.001) and fibrinogen levels ( P = 0.014). Post-reperfusion syndrome ( P < 0.001), disseminated intravascular coagulation ( P < 0.001), and primary graft failure ( P = 0.002) were also more common in the ICT group. Continuous veno-venous hemofiltration during surgery (odds ratio [OR] 8.20, 95% confidence interval [CI]: 2.09–38.1; P = 0.004) was associated with ICT development. ICT was associated with markedly higher rates of cardiac arrest ( P < 0.001) and intraoperative mortality ( P < 0.001), with thrombus location in the left heart chambers representing a significant predictor of mortality (OR 20.7, 95% CI: 6.25–81.3; P < 0.001). ICT grades 2 and 3 were associated with a markedly increased risk of intraoperative cardiac arrest ( P < 0.05). Importantly, delayed use of TEE was strongly associated with intraoperative death (OR 6.27, 95% CI: 1.45–27.1; P = 0.014). The 90-day mortality was 43% in ICT cases compared to 4.5% in controls, while 1-year mortality was 46% versus 10.5%, respectively. Conclusions: ICT during LT is a rare but severe complication associated with intraoperative mortality and poor short-term survival. Coagulation profile and intraoperative management play critical roles in ICT development. The early use of TEE enables timely diagnosis and intervention, improving patient outcomes. We propose a novel ICT classification offering a systematic framework for risk stratification and management to mitigate progression and mortality.

Background/Objectives: Human endogenous retroviruses (ERVs) are genomic sequences integrated into the human genome from ancestral exogenous retroviruses and are epigenetically silenced under normal conditions. Growing evidence has shown that they can be reactivated in human diseases such as cancers and autoimmune diseases. However, their clinical implications in colon cancer are yet to be explored. Methods: RNA-seq data were downloaded from RNA Atlas and TCGA for cell lines and tissue samples, respectively. After alignment, ERV expression was quantified against comprehensively compiled ERVs (3220). ERV expression profiles were compared between sequencing protocols, cancer and normal cells, and matched tumor and normal tissue pairs. Unsupervised clustering was used to identify ERV-defined tumor subtypes and their associations with clinical and other molecular features. ERV association with disease-specific survival (DSS) was performed using the Cox regression model. Results: PolyA and total RNA protocols were comparable in ERV expression detection. Cancer cells had significantly increased ERV expression and reactivation. Upregulated ERVs were significantly enriched in viral protein interactions with cytokine and cytokine receptors. ERV expression-defined tumor classes were significantly associated with tumor mutation burden and immuno-phenotypes such as antigen processing and presenting machinery and tumor immune infiltration score. Survival analysis identified 152 ERVs to be independently associated with DSS. Conclusions: ERV abnormal expression is common in colon cancer. The ERV-defined subtypes are associated with tumor immunity, and some ERVs are independently associated with patient outcomes.

Background/Objectives: Coronavirus disease 2019 (COVID-19) is associated with gastrointestinal (GI) symptoms. Small intestinal bacterial overgrowth (SIBO) is emerging as a significant GI sequela post-COVID-19 infection. This study aimed to evaluate the prevalence and incidence of SIBO post-COVID-19 infection across different age groups and to identify associated risk factors in a global cohort. Methods: A retrospective study utilized the TriNetX database and included adult patients (≥18 years) diagnosed with SIBO following COVID-19 infection (1 January 2022–30 May 2024). A propensity score matching (1:1) was used to adjust for demographics and SIBO risk factors. Kaplan–Meier survival analysis assessed the SIBO incidence within 12 months. Results: Among 1,660,092 COVID-19 patients and 42,322,017 controls, SIBO was diagnosed in 353 COVID-19 patients without hydrogen breath tests (BT) and 78 with BT, compared to 3368 controls without BT and 871 with BT. Age-specific analysis demonstrated a clear, progressive increase in the SIBO incidence, becoming distinctly significant by 6 months and highest at 12 months post-infection. The highest risks were noted in ages 60–69 (0.011% vs. 0.004%, OR 2.6, p = 0.0003) and 70–79 (0.011% vs. 0.005%, OR 2.0, p = 0.0004), with younger age groups (30–49 years) also showing significantly increased risks. The medication analysis revealed strong associations with chronic opioid, proton pump inhibitor, and antidiarrheal medication. Conclusions: COVID-19 significantly increased the risk of SIBO, particularly within the first 12 months post-infection, across various age groups and, notably, in association with certain chronic medications. Clinical vigilance and targeted management strategies are recommended to mitigate long-term GI consequences.

Retrieval-Augmented Generation (RAG) offers a promising strategy to harness large language models (LLMs) for delivering up-to-date, accurate clinical guidance while reducing physicians’ cognitive burden, yet its effectiveness hinges on query clarity and structure. We propose an adaptive Self-Query Retrieval (SQR) framework that integrates three refinement modules—PICOT (Population, Intervention, Comparison, Outcome, Time), SPICE (Setting, Population, Intervention, Comparison, Evaluation), and Iterative Query Refinement (IQR)—to automatically restructure and iteratively enhance clinical questions until they meet predefined retrieval-quality thresholds. Implemented on Gemini-1.0 Pro, we benchmarked SQR using thirty postoperative rhinoplasty queries, evaluating responses for accuracy and relevance on a three-point Likert scale and for retrieval quality via precision, recall, and F1 score; statistical significance was assessed by one-way ANOVA with Tukey post-hoc testing. The full SQR pipeline achieved 87% accuracy (Likert 2.4 ± 0.7) and 100% relevance (Likert 3.0 ± 0.0), significantly outperforming a non-refined RAG baseline (50% accuracy, 80% relevance; p < 0.01 and p = 0.03). Precision, recall, and F1 rose from 0.17, 0.39 and 0.24 to 0.53, 1.00, and 0.70, respectively, while PICOT-only and SPICE-only variants yielded intermediate improvements. These findings demonstrate that automated structuring and iterative enhancement of queries via SQR substantially elevate LLM-based clinical decision support, and its model-agnostic architecture enables rapid adaptation across specialties, data sources, and LLM platforms.