Skip to main content
Daily Report

Daily Anesthesiology Research Analysis

11/22/2025
3 papers selected
3 analyzed

Three papers stand out in anesthesiology today: a rigorous mechanistic study unveils a peripheral c‑Jun–Mrgprd–DS‑lncRNA–Ehmt2/G9a–Oprm1 axis driving morphine tolerance; a compact ECG-based machine learning model accurately predicts inadequate anesthesia depth (BIS >60) minutes in advance; and a cluster-randomized cross-over trial finds no pulmonary hemodynamic or RV functional advantage of vasopressin over norepinephrine during cardiac surgery.

Summary

Three papers stand out in anesthesiology today: a rigorous mechanistic study unveils a peripheral c‑Jun–Mrgprd–DS‑lncRNA–Ehmt2/G9a–Oprm1 axis driving morphine tolerance; a compact ECG-based machine learning model accurately predicts inadequate anesthesia depth (BIS >60) minutes in advance; and a cluster-randomized cross-over trial finds no pulmonary hemodynamic or RV functional advantage of vasopressin over norepinephrine during cardiac surgery.

Research Themes

  • Mechanisms of opioid tolerance and peripheral sensory neuron signaling
  • AI-enabled perioperative monitoring without EEG
  • Vasopressor selection in cardiac surgery hemodynamics

Selected Articles

1. Modulation of morphine tolerance by Mas-related G protein-coupled receptor D signalling in the mouse dorsal root ganglion.

84Level VCase-control
British journal of anaesthesia · 2025PMID: 41271469

Time-resolved transcriptomics and in vivo manipulations identified a peripheral c‑Jun–Mrgprd–DS‑lncRNA–Ehmt2/G9a–Oprm1 pathway that drives morphine tolerance by reprogramming DRG gene expression. Suppressing Mrgprd delayed tolerance and increased MOR, whereas overexpression accelerated tolerance; targeting DS‑lncRNA/Ehmt2 reversed these effects.

Impact: This is a first-of-its-kind mechanistic delineation of a peripheral pathway controlling opioid tolerance, shifting focus beyond central mechanisms and revealing druggable nodes.

Clinical Implications: Although preclinical, the identified c‑Jun–Mrgprd–DS‑lncRNA–Ehmt2/G9a–Oprm1 axis suggests new targets to mitigate opioid tolerance, potentially sustaining analgesic efficacy and reducing dose escalation and adverse effects.

Key Findings

  • Acute morphine reduced DRG Mrgprd expression by ~70% at 6–24 h, normalizing by day 4.
  • Mrgprd knockdown delayed, while AAV-Mrgprd overexpression accelerated, the development of morphine tolerance.
  • Morphine decreased c-Jun (~40%); c-Jun directly bound the Mrgprd promoter (ChIP-qPCR/luciferase).
  • Mrgprd knockdown increased Oprm1/MOR via DS-lncRNA upregulation and Ehmt2/G9a suppression; DS-lncRNA knockdown restored Ehmt2 and reinstated tolerance.

Methodological Strengths

  • Time-course RNA-seq integrated with in vivo gain/loss-of-function in DRG
  • Convergent molecular validation (ChIP-qPCR, luciferase) and behavioral readouts

Limitations

  • Preclinical mouse model; human translatability remains to be shown
  • Pharmacologic tools targeting this axis and off-target effects were not clinically evaluated

Future Directions: Validate the axis in human DRG/tissue, develop selective modulators (e.g., Mrgprd or DS‑lncRNA/Ehmt2), and test efficacy/safety in large-animal models and early-phase clinical trials.

BACKGROUND: Opioids such as morphine are essential for the management of moderate to severe pain. However, their prolonged use leads to tolerance. Although the central mechanisms of morphine tolerance have been extensively studied, the peripheral molecular pathways remain poorly understood. METHODS: We performed time-course RNA sequencing of the dorsal root ganglia (DRG) from a morphine tolerance mouse model, followed by mechanistic studies using genetic and pharmacological manipulations combined with behavioural, molecular, and biochemical assays. RESULTS: Acute morphine administration reduced Mas-related G protein-coupled receptor D (Mrgprd) expression in DRG neurones by ∼70% within 6-24 hours, with levels returning to baseline by day 4 of the tolerance model. Mrgprd knockdown delayed the onset of tolerance, whereas AAV-mediated Mrgprd overexpression accelerated its development. Morphine treatment also decreased c-Jun expression by ∼40% at 24 h, consistent with the observed suppression of Mrgprd. In vivo siJun (siRNA targeting Jun mRNA to silence c-Jun expression) suppressed Mrgprd expression in DRG, and ChIP-qPCR and luciferase assays confirmed c-Jun binding to the Mrgprd promoter. Mrgprd knockdown increased Oprm1 mRNA and MOR protein concentrations. Approximately 50% increase in DS-lncRNA after Mrgprd suppression was observed in parallel with decreased Ehmt2/G9a expression, thereby relieving repression of Oprm1/MOR. DS-lncRNA knockdown restored Ehmt2 expression and reduced Oprm1 concentrations, reinstating tolerance in Mrgprd knockout mice. CONCLUSIONS: These findings reveal a peripheral pathway (c-Jun-Mrgprd-DS-lncRNA-Ehmt2/G9a-Oprm1/MOR) that modulates opioid responsiveness. Targeting this axis offers new potential therapeutic strategies to mitigate tolerance and improve the durability of opioid analgesia.

2. Heart rate dynamics predict anaesthetic depth: a compact machine learning model.

74.5Level IIICohort
British journal of anaesthesia · 2025PMID: 41271473

Using ECG-derived heart rate dynamics, gradient boosting models predicted BIS >60 with AUCs of 0.95 (0 min), 0.92 (5 min), 0.91 (10 min), and 0.90 (15 min). A compact 27-feature set preserved accuracy while improving computational speed by 110-fold, enabling practical, EEG-free depth-of-anesthesia alerts.

Impact: Demonstrates a low-footprint, generalizable approach to anticipate inadequate anesthesia using widely available ECG signals, potentially enhancing safety where EEG monitoring is unavailable.

Clinical Implications: Could be integrated into standard monitors to provide early warnings of light anesthesia, guide titration, and reduce awareness risk when EEG-based indices are unavailable.

Key Findings

  • Models achieved AUCs of 0.953 (0 min), 0.917 (5 min), 0.910 (10 min), and 0.903 (15 min) for predicting BIS >60.
  • A compact set of 27 features preserved high accuracy with a 110-fold improvement in computational speed.
  • Most informative features captured fractal characteristics of heart rate dynamics.

Methodological Strengths

  • Large multicenter-like cohort size (n=3338) with nested 10-fold cross-validation
  • Feature reduction yielding a clinically deployable, computationally efficient model

Limitations

  • Retrospective dataset; lack of external prospective validation
  • BIS >60 is a surrogate for inadequate anesthesia and may be influenced by artifacts

Future Directions: Prospective, multicenter validation; real-time integration into OR monitors; assessment across anesthetic agents, age groups, and comorbidities; evaluation of impact on awareness and hemodynamic events.

BACKGROUND: Accurate monitoring of the depth of anaesthesia is essential for patient safety. Although processed electroencephalogram monitoring is widely used, it is not always available. This study aimed to predict episodes of inadequate anaesthesia, defined as a bispectral index (BIS) value >60, by characterising heart rate (HR) dynamics. METHODS: Electrocardiogram data from 3338 surgical patients were analysed. BIS >60 events were identified, and the HR segments preceding these events at 0, 5, 10, and 15 min were extracted. Time-series features were extracted using a highly comparative time-series analysis framework. Gradient boosting models were trained and evaluated using a nested 10-fold cross-validation. A feature-reduction procedure was used to identify a compact feature subset. RESULTS: All models demonstrated strong discriminative performance, with area under the receiver operating characteristic curve values of 0.953 (95% confidence interval: 0.949-0.958) at 0 min, 0.917 (0.909-0.925) at 5 min, 0.910 (0.905-0.916) at 10 min, and 0.903 (0.894-0.912) at 15 min. A compact model comprising 27 features maintained high performance across all time points while achieving a 110-fold improvement in computational speed. These features predominantly captured fractal HR dynamics. CONCLUSIONS: High-dimensional descriptors of heart rate dynamics enabled accurate prediction of BIS >60 events. By identifying a compact subset of 27 features, this approach demonstrates potential as a clinically feasible and computationally efficient tool for monitoring the depth of anaesthesia.

3. Cardiopulmonary Effects of Vasopressin Versus Norepinephrine in Cardiac Surgery Patients: a Single Cluster-Randomized Cross-over Trial.

72.5Level IRCT
The Journal of thoracic and cardiovascular surgery · 2025PMID: 41270859

In 153 cardiac surgery patients with intraoperative hypotension, vasopressin did not reduce pulmonary pressures (mPAP/MAP ratio) or improve right ventricular free wall strain compared with norepinephrine. Preoperative pulmonary hypertension did not modify treatment effects.

Impact: Provides a randomized, clinically relevant test of a common assumption favoring vasopressin for pulmonary hemodynamic advantages, yielding a clear negative result.

Clinical Implications: Vasopressor selection during cardiac surgery should not favor vasopressin over norepinephrine solely for expected pulmonary hemodynamic or RV functional benefits; decisions can be based on other factors (availability, cost, side-effect profile).

Key Findings

  • No significant difference in mPAP-to-MAP ratio between vasopressin and norepinephrine groups (effect 0.02; P=0.646).
  • No significant difference in right ventricular free wall strain (effect 3.45%; P=0.078).
  • Preoperative pulmonary hypertension did not interact with treatment effects on mPAP/MAP ratio or RV strain.

Methodological Strengths

  • Cluster-randomized multiple cross-over design in real-world cardiac surgery
  • Objective echocardiographic hemodynamic measures analyzed with appropriate interaction testing

Limitations

  • Single-center study with modest sample size may limit power for secondary endpoints
  • Blinding and protocolized dosing details are not specified; potential cluster-period effects

Future Directions: Multicenter RCTs powered for clinical outcomes (AKI, arrhythmias, ICU length of stay), dose–response evaluation, and subgroup analyses (bypass vs off-pump, pulmonary hypertension severity).

BACKGROUND: Laboratory research suggests that vasopressin restores systemic arterial pressure without significantly increasing pulmonary artery pressures, compared with norepinephrine. We therefore tested the hypotheses that treatment of intraoperative vasoplegia with vasopressin rather than norepinephrine induces less pulmonary hypertension and improves right ventricular function during cardiac surgery. METHODS: Our single-center cluster-randomized multiple cross-over trial enrolled patients having elective cardiac surgery who developed systemic hypotension (mean arterial pressure <70 mmHg) and cardiac index greater than 2.2 L/min/m RESULTS: We analyzed 153 patients, with 70 assigned to vasopressin and 83 to norepinephrine. There were no significant differences in mPAP-to-MAP ratio [0.02 (95% CI: -0.02, 0.05; P = 0.646)] or in right ventricular free wall strain [3.45 (95% CI: 0.17, 6.73; P = 0.078) %] in patients given vasopressin vs norepinephrine infusion. There was no evidence of an interaction between preoperative pulmonary hypertension status and mPAP-to-MAP ratio (interaction P value = 0.781) or right ventricular strain (interaction P value = 0.780). CONCLUSION: We found no evidence to support the preferential use of Vasopressin over norepinephrine in cardiac surgery patients.