Turn-on fluorescence imaging is routinely studied; however, turn-on chemiluminescence has been rarely explored for in vivo imaging. Herein, we report the design and validation of chemiluminescence probe ADLumin-1 as a turn-on probe for amyloid beta (Aβ) species. Two-photon imaging indicates that ADLumin-1 can efficiently cross the blood–brain barrier and provides excellent contrast for Aβ plaques and cerebral amyloid angiopathy. In vivo brain imaging shows that the chemiluminescence signal of ADLumin-1 from 5-month-old transgenic 5xFAD mice is 1.80-fold higher than that from the age-matched wild-type mice. Moreover, we demonstrate that it is feasible to further dually-amplify signal via chemiluminescence resonance energy transfer (DAS-CRET) using two non-conjugated smart probes (ADLumin-1 and CRANAD-3) in solutions, brain homogenates, and in vivo whole brain imaging. Our results show that DAS-CRET can provide a 2.25-fold margin between 5-month-old 5xFAD mice and wild type mice. We believe that our strategy could be extended to other aggregating-prone proteins.

CRANAD-28, a difluoroboron curcumin analogue, has been demonstrated in earlier reports to successfully label amyloid beta (Aβ) plaques for imaging both ex vivo and in vivo. CRANAD-28’s imaging brightness, ability to penetrate the blood brain barrier, and low toxicity make the compound a potentially potent imaging tool in Alzheimer’s research. In this study, the Aβ-labeling ability of CRANAD-28 was investigated in further detail using histological staining to assess different criteria, including stained Aβ plaque brightness, Aβ plaque size, and Aβ plaque number count. The results of this study demonstrated CRANAD-28 to be superior across all criteria assessed. Furthermore, CRANAD-28 and IBA-1 antibody were used to label Aβ-plaques and microglia respectively. Statistical analysis with Spearman regression revealed a statistically significant negative correlation between the size of labeled Aβ plaques and surrounding microglia density. This finding provides interesting insight into Aβ plaque and microglia dynamism in AD pathology and corroborates the findings of previous studies. In addition, we found that CRANAD-28 provided distinct spectral signatures for Aβs in the core and periphery of the plaques. Based on the study’s results, CRANAD-28 could be considered as an alternative standard for imaging Aβ-plaques in future research studies.

BACKGROUND AND OBJECTIVES: Nosocomial infections are the most common complication among critically ill patients and contribute to poor long-term outcomes. Patients with aneurysmal subarachnoid hemorrhage (aSAH) are highly susceptible to perioperative infections, yet it is unclear what factors influence infection onset and functional recovery. The objective was to investigate risk factors for perioperative infections after aSAH and relate causative pathogens to patient outcomes. METHODS: Clinical records were obtained for 194 adult patients with aSAH treated at our institution from 2016 to 2020. Demographics, clinical course, complications, microbiological reports, and outcomes were collected. χ², univariate, and multivariate logistic regression analyses were used to analyze risk factors. RESULTS: Nearly half of the patients developed nosocomial infections, most frequently pneumonia and urinary tract infection. Patients with infections had longer hospital stays, higher rates of delayed cerebral ischemia, and worse functional recovery up to 6 months after initial hemorrhage. Independent risk factors for pneumonia included male sex, comatose status at admission, mechanical ventilatory use, and longer admission, while those for urinary tract infection included older age and longer admission. Staphylococcus, Klebsiella, and Enterococcus spp. were associated with poor long-term outcome. Certain pathogenic organisms were associated with delayed cerebral ischemia. CONCLUSION: Perioperative infections are highly prevalent among patients with aSAH and are related to adverse outcomes. The risk profiles for nosocomial infections are distinct to each infection type and causative organism. Although strong infection control measures should be universally applied, patient management must be individualized in the context of specific infections.