Cities, as complex systems, are faced with increasingly diverse and connected challenges across social, economic, environmental, and health domains. To help cities address these challenges, the Future Earth Urban Knowledge-Action Network developed a cross-disciplinary urban research agenda through expert elicitations and extensive consultation. Five research themes to guide urban sustainability research were identified including: (1) advancing urban sustainability transformations, (2) ensuring equity, (3) boosting innovation in low to lower-middle income countries, (4) managing complexity and systemic risks, and (5) navigating environmental change. Advancing this agenda will require collaboration across disciplines and geographies, transdisciplinary coproduction, and enhanced support to urban science.

Cities and urban regions are at the forefront of transformations toward global sustainability. As urbanization accelerates, there is increasing demand for cities to play multiple, complex and synthetic roles across social and environmental domains within and beyond their boundaries, for example driving economic development while mitigating and adapting to global environmental changes. To help cities in meeting this challenge, urban science, a rapidly growing field that includes inter- and transdisciplinary research, needs to expand and evolve, with clear priorities. Combining expert elicitation and community consultation, the Future Earth Urban Knowledge-Action Network developed a strategic research agenda for urban science for the next decade. The urban science research agenda describes five critical research themes for scientific advances: (1) accelerate urban sustainability transformations, (2) ensure equity and inclusivity, (3) amplify innovation from the low to lower-middle income countries, (4) negotiate complexity and systemic risks, and (5) navigate environmental change. Under each research theme, we review the state of the art, identify remaining gaps, and outline key research questions needing to be addressed to advance science toward urban transformations. Interconnections across, and enabling conditions to advance, these priority research themes are discussed.

Globally co-designed urban research agenda reveals pressing priorities for sustainability and resilience.

Preclinical evidence suggests that diazepam enhances hippocampal γ-aminobutyric acid (GABA) signalling and normalises a psychosis-relevant cortico-limbic-striatal circuit. Hippocampal network dysconnectivity, particularly from the CA1 subfield, is evident in people at clinical high-risk for psychosis (CHR-P), representing a potential treatment target. This study aimed to forward-translate this preclinical evidence.

In this randomised, double-blind, placebo-controlled study, 18 CHR-P individuals underwent resting-state functional magnetic resonance imaging twice, once following a 5 mg dose of diazepam and once following a placebo. They were compared to 20 healthy controls (HC) who did not receive diazepam/placebo. Functional connectivity (FC) between the hippocampal CA1 subfield and the nucleus accumbens (NAc), amygdala, and ventromedial prefrontal cortex (vmPFC) was calculated. Mixed-effects models investigated the effect of group (CHR-P placebo/diazepam vs. HC) and condition (CHR-P diazepam vs. placebo) on CA1-to-region FC.

In the placebo condition, CHR-P individuals showed significantly lower CA1-vmPFC (Z = 3.17, PFWE = 0.002) and CA1-NAc (Z = 2.94, PFWE = 0.005) FC compared to HC. In the diazepam condition, CA1-vmPFC FC was significantly increased (Z = 4.13, PFWE = 0.008) compared to placebo in CHR-P individuals, and both CA1-vmPFC and CA1-NAc FC were normalised to HC levels. In contrast, compared to HC, CA1-amygdala FC was significantly lower contralaterally and higher ipsilaterally in CHR-P individuals in both the placebo and diazepam conditions (lower: placebo Z = 3.46, PFWE = 0.002, diazepam Z = 3.33, PFWE = 0.003; higher: placebo Z = 4.48, PFWE < 0.001, diazepam Z = 4.22, PFWE < 0.001).

This study demonstrates that diazepam can partially restore hippocampal CA1 dysconnectivity in CHR-P individuals, suggesting that modulation of GABAergic function might be useful in the treatment of this clinical group.

We assessed whether the motor component of the Glasgow Coma Scale (GCSm) is independently associated with unfavorable outcomes in aggressively treated poor-grade subarachnoid hemorrhage (SAH) patients.

Retrospective cohort of poor-grade SAH patients (World Federation of Neurosurgical Societies (WFNS) grades IV and V). The best GCSm score achieved within 24 h of admission was stratified into four categories (<4, 4, 5 or 6). Outcomes were classified as favorable [modified Rankin Scale (mRS) ≤ 2] or unfavorable (mRS ≥ 3). Multivariable logistic regression was performed to identify independent predictors of unfavorable outcome.

A total of 179 patients were admitted during the study period (mean age 55.9 ± 12.1; 68.2% female). Thirty-three patients (33/179 – 18%) died before aneurysm treatment, one patient had missing GCSm data at 24 h and sixteen patients (16/179; 9%) were lost to follow-up. One hundred and twenty-nine patients (129/179 – 72%) were included in the final analysis. No patient with GCSm < 4 had a favorable outcome (sensitivity 22.4%, specificity 100%, positive predictive value 100% and negative predictive value 67.8% for unfavorable outcome). Delayed cerebral ischemia-related cerebral infarction (odds ratio (OR) 4.06; 1.56−11.11 95% CI, p = 0.004) and the best GCSm score were independently associated with unfavorable outcome. There was a stepwise decrease in the rate of unfavorable outcome from GCSm < 4 to GCSm = 6 (<4 = 100%; 4 = 80%; 5 = 46% and 6 = 20%). Each one-point decrease in GCSm score was associated with an OR of 3.52 (1.77−7.92 95% CI, p = < 0.001) for unfavorable outcome.

The GCSm score was independently associated with unfavorable outcome. All patients with a GCSm score < 4 experienced an unfavorable outcome.

Targeting the glutamatergic system is posited as a potentially novel therapeutic strategy for psychotic disorders. While studies in subjects indicate that antipsychotic medication reduces brain glutamatergic measures, they were unable to disambiguate clinical changes from drug effects.

To address this, we investigated the effects of a dopamine D2 receptor partial agonist (aripiprazole) and a dopamine D2 receptor antagonist (amisulpride) on glutamatergic metabolites in the anterior cingulate cortex (ACC), striatum and thalamus in healthy controls.

A double-blind, within-subject, cross-over, placebo-controlled study design with two arms (n = 25 per arm) was conducted. Healthy volunteers received either aripiprazole (up to 10 mg/day) for 7 days or amisulpride (up to 400 mg/day) and a corresponding period of placebo treatment in a pseudo-randomised order. Magnetic resonance spectroscopy (1H-MRS) was used to measure glutamatergic metabolite levels and was carried out at three different time points: baseline, after 1 week of drug and after 1 week of placebo. Values were analysed as a combined measure across the ACC, striatum and thalamus.

Aripiprazole significantly increased glutamate + glutamine (Glx) levels compared with placebo (β = 0.55, 95% CI [0.15, 0.95], P = 0.007). At baseline, the mean Glx level was 8.14 institutional units (s.d. = 2.15); following aripiprazole treatment, the mean Glx level was 8.16 institutional units (s.d. = 2.40) compared with 7.61 institutional units (s.d. = 2.36) for placebo. This effect remained significant after adjusting for plasma parent and active metabolite drug levels. There was an observed increase with amisulpride that did not reach statistical significance.

One week of aripiprazole administration in healthy participants altered brain Glx levels as compared with placebo administration. These findings provide novel insights into the relationship between antipsychotic treatment and brain metabolites in a healthy participant cohort.

Patients with posttraumatic stress disorder (PTSD) exhibit smaller regional brain volumes in commonly reported regions including the amygdala and hippocampus, regions associated with fear and memory processing. In the current study, we have conducted a voxel-based morphometry (VBM) meta-analysis using whole-brain statistical maps with neuroimaging data from the ENIGMA-PGC PTSD working group.

T1-weighted structural neuroimaging scans from 36 cohorts (PTSD n = 1309; controls n = 2198) were processed using a standardized VBM pipeline (ENIGMA-VBM tool). We meta-analyzed the resulting statistical maps for voxel-wise differences in gray matter (GM) and white matter (WM) volumes between PTSD patients and controls, performed subgroup analyses considering the trauma exposure of the controls, and examined associations between regional brain volumes and clinical variables including PTSD (CAPS-4/5, PCL-5) and depression severity (BDI-II, PHQ-9).

PTSD patients exhibited smaller GM volumes across the frontal and temporal lobes, and cerebellum, with the most significant effect in the left cerebellum (Hedges’ g = 0.22, pcorrected = .001), and smaller cerebellar WM volume (peak Hedges’ g = 0.14, pcorrected = .008). We observed similar regional differences when comparing patients to trauma-exposed controls, suggesting these structural abnormalities may be specific to PTSD. Regression analyses revealed PTSD severity was negatively associated with GM volumes within the cerebellum (pcorrected = .003), while depression severity was negatively associated with GM volumes within the cerebellum and superior frontal gyrus in patients (pcorrected = .001).

PTSD patients exhibited widespread, regional differences in brain volumes where greater regional deficits appeared to reflect more severe symptoms. Our findings add to the growing literature implicating the cerebellum in PTSD psychopathology.

The quality of news reports about suicide can influence suicide rates. Although many researchers have aimed to assess the general safety of news reporting in terms of adherence to responsible media guidelines, none have focused on major US cable networks, a key source of public information in North America and beyond.

To characterise and compare suicide-related reporting by major US cable television news networks across the ideological spectrum.

We searched a news archive (Factiva) for suicide-related transcripts from ‘the big three’ US cable television news networks (CNN, Fox News and MSNBC) over an 11-year inclusion interval (2012–2022). We included and coded segments with a major focus on suicide (death, attempt and/or thoughts) for general content, putatively harmful and protective characteristics and overarching narratives. We used chi-square tests to compare these variables across networks.

We identified 612 unique suicide-related segments (CNN, 398; Fox News, 119; MSNBC, 95). Across all networks, these segments tended to focus on suicide death (72–89%) and presented stories about specific individuals (61–87%). Multiple putatively harmful characteristics were evident in segments across networks, including mention of a suicide method (42–52%) – with hanging (15–30%) and firearm use (12–20%) the most commonly mentioned – and stigmatising language (39–43%). Only 15 segments (2%) presented a story of survival.

Coverage of suicide stories by major US cable news networks was often inconsistent with responsible reporting guidelines. Further engagement with networks and journalists is thus warranted.