Unraveling robust brain-behavior links of depressive complaints through granular network models for understanding heterogeneity.

BACKGROUND: Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical in elucidating its etiology and persistence. We aimed to evaluate the utility of using symptom-brain network models to parse the heterogeneity of depressive complaints in a large adolescent sample. METHODS: We used data from the third wave of the IMAGEN study, a multi-center panel cohort study involving 1317 adolescents (52.49 % female, mean ± SD age = 18.5 ± 0.7). Two network models were estimated: one including an overall depressive symptom severity sum score based on the Adolescent Depression Rating Scale (ADRS), and one incorporating individual ADRS item scores. Both networks included measures of cortical thickness in several regions (insula, cingulate, mOFC, fusiform gyrus) and hippocampal volume derived from neuroimaging. RESULTS: The network based on individual item scores revealed associations between cortical thickness measures and specific depressive complaints, obscured when using an aggregate depression severity score. Notably, the insula's cortical thickness showed negative associations with cognitive dysfunction (partial cor. = -0.15); the cingulate's cortical thickness showed negative associations with feelings of worthlessness (partial cor. = -0.10), and mOFC was negatively associated with anhedonia (partial cor. = -0.05). LIMITATIONS: This cross-sectional study relied on the self-reported assessment of depression complaints and used a non-clinical sample with predominantly healthy participants (19 % with depression or sub-threshold depression). CONCLUSIONS: This study showcases the utility of network models in parsing heterogeneity in depressive complaints, linking individual complaints to specific neural substrates. We outline the next steps to integrate neurobiological and cognitive markers to unravel MDD's phenotypic heterogeneity.

Clinical validation of loop-mediated isothermal amplification for the detection of Escherichia coli sequence type complex 131.

The dissemination of Escherichia coli multidrug-resistant (MDR) STc131 is related to its persistence in the human gastrointestinal tract as efficient gut colonizers. Infection and prevention measures are the cornerstones for preventing STc131 spread. Oral decolonization therapies that target ST131 are being developed. There are no rapid methods available to identify STc131 in human specimens. A loop-mediated isothermal amplification (LAMP) assay (named LAMP-ST131) was developed for the detection of STc131 on well-characterized E. coli isolates and then compared to culture and PCR for urines and stool swabs. With E. coli isolates (n = 720), LAMP-ST131 had a sensitivity (sens) of 100% [95% confidence interval (C.I.) = 98.1-100%)] and a specificity (spec) of 98.9% (95% C.I. = 97.5-99.5%). On urines (n = 550), LAMP-ST131 had a sens of 97.6% (95% C.I. = 89.68-94.33%) and a spec of 92.3% (95% C.I. = 87.68-99.88%), while on stool swabs (n = 278), LAMP-ST131 had a sens of 100% (95% C.I. = 88.7-100%) and a spec of 83.9% (95% C.I. = 78.8-87.9%). LAMP-ST131 detected 10 (urines) and 100 (stool swabs) gene copies/µL. LAMP-ST131 accurately identified STc131 within E. coli isolates and human specimens. The implementation of LAMP-ST131 will aid genomic surveys, enable the rapid implementation of effective infection prevention measures, and identify patients suitable for ST131 decolonization therapies. Such approaches will curb the spread of STc131 and decrease incidence rates of global MDR E. coli infections. IMPORTANCE: We developed an accurate non-culture-based loop-mediated isothermal amplification (LAMP) methodology for the detection of (sequence type) STc131 among Escherichia coli isolates and human specimens. The use of LAMP-ST131 for global genomic surveillance studies and to identify patients that are suitable for ST131 decolonization therapies will be important for decreasing multidrug-resistant E. coli infections across the globe.

Escherichia coli sequence type 410 with carbapenemases: a paradigm shift within E. coli toward multidrug resistance.

Escherichia coli sequence type ST410 is an emerging carbapenemase-producing multidrug-resistant (MDR) high-risk One-Health clone with the potential to significantly increase carbapenem resistance among E. coli. ST410 belongs to two clades (ST410-A and ST410-B) and three subclades (ST410-B1, ST410-B2, and ST410-B3). After a fimH switch between clades ST410-A and ST410-B1, ST410-B2 and ST410-B3 subclades showed a stepwise progression toward developing MDR. (i) ST410-B2 initially acquired fluoroquinolone resistance (via homologous recombination) in the 1980s. (ii) ST410-B2 then obtained CMY-2, CTX-M-15, and OXA-181 genes on different plasmid platforms during the 1990s. (iii) This was followed by the chromosomal integration of blaCMY-2, fstl YRIN insertion, and ompC/ompF mutations during the 2000s to create the ST410-B3 subclade. (iv) An IncF plasmid "replacement" scenario happened when ST410-B2 transformed into ST410-B3: F36:31:A4:B1 plasmids were replaced by F1:A1:B49 plasmids (both containing blaCTX-M-15) followed by blaNDM-5 incorporation during the 2010s. User-friendly cost-effective methods for the rapid identification of ST410 isolates and clades are needed because limited data are available about the frequencies and global distribution of ST410 clades. Basic mechanistic, evolutionary, surveillance, and clinical studies are urgently required to investigate the success of ST410 (including the ability to acquire successive MDR determinants). Such information will aid with management and prevention strategies to curb the spread of carbapenem-resistant E. coli. The medical community can ill afford to ignore the spread of a global E. coli clone with the potential to end the carbapenem era.

Population-based genomic surveillance of Pseudomonas aeruginosa causing bloodstream infections in a large Canadian health region.

PURPOSE: Population-based surveillance was undertaken to determine clinical factors, susceptibility patterns, and incidence rates (IR) of Pseudomonas aeruginosa causing bloodstream infections (BSIs) in a Canadian region (2010-2018). METHODS: We combined clinical data with genomics to characterize P. aeruginosa (BSIs) (n = 167) in a well-defined Canadian (Calgary) human population over a 9-year period (2010-2018). RESULTS: The annual population IR per 100,000 patient years increased from 3.4/100,000 in 2010 to 5.9/100,000 in 2018, with the highest IRs in elderly males from the hospital setting. Over a quarter of patients presented with febrile neutropenia, followed by urinary tract infections and pneumonia. Antimicrobial resistance (AMR) rates and determinants were rare. The P. aeruginosa population was polyclonal consisting of three dominant sequence types (STs), namely ST244, ST111, and ST17. Antimicrobial-susceptible ST244 was the most common clone and belonged to three clades (A, B, C). The ST244 IR/100,000 increased over time due to the expansion of clade C. Multidrug-resistant ST111 was the second most common clone and IR/100,000 decreased over time. ST111 belonged to three clades (A, B, C) with clade C containing blaVIM-2. Different serotypes were linked to various STs. The IR/100,000 of P. aeruginosa that belonged to serotypes O6 increased significantly over time. CONCLUSION: An effective multivalent vaccine consisting of five serotypes (O1, O3, O5, O6, O11) would confer protection to > 70% of Calgary residents with P. aeruginosa BSIs. This study has provided a unique perspective of the population dynamics over time of P. aeruginosa STs, clades, and serotypes responsible for BSIs.

Genomic epidemiology and molecular characteristics of blaNDM-1-positive carbapenem-resistant Pseudomonas aeruginosa belonging to international high-risk clone ST773 in the Gauteng region, South Africa.

PURPOSE: The emergence of carbapenem-resistant P. aeruginosa (CRPA) harbouring acquired carbapenemase genes (blaVIM, blaIMP and blaNDM) has become a global public health threat. Three CRPA isolates included in the study had an extensively drug-resistant phenotype with susceptibility to colistin only and were positive for the blaNDM-1 gene. The current study aimed to investigate the genomic epidemiology and molecular characteristics of the blaNDM-1-positive CRPA isolates collected from the Gauteng region, South Africa. METHODS: Short read whole genome sequencing (WGS) was performed to determine sequence types (STs), genetic relatedness, resistome, virulome and the genetic environment of the blaNDM-1 gene. RESULTS: The WGS and phylogenetic analyses revealed that the study isolates belonged to an international high-risk clone ST773 and belonged to the same clade with eight blaNDM-1-positive ST773 isolates from Hungary, India, Nigeria, South Korea and USA. The study isolates harboured a wide repertoire of intrinsic and acquired antibiotic resistance genes (ARGs) related with mobile genetic elements, porins and efflux pumps, as well as virulence factor genes. The clade-specific ARGs (blaNDM-1, floR2/cmlA9, rmtB4, tetG) were found in a putative integrative and conjugative element (ICE) region similar to ICE6660-like. CONCLUSION: As ICE carrying the blaNDM-1 gene can easily spread to other P. aeruginosa isolates and other Gram-negative bacteria, the findings in this study highlight the need for appropriate management strategies and active surveillance of CRPA isolates in the Gauteng region, South Africa.

CRISPR-Cas9-mediated IncF plasmid curing in extraintestinal pathogenic Escherichia coli.

IMPORTANCE: Understanding the role of IncF plasmids in the success of drug-resistant bacteria has far-reaching implications for tackling antibiotic resistance. The study's use of a novel CRISPR-Cas9-mediated plasmid-curing system provides a precision tool for dissecting the specific impact of IncF plasmids on ExPEC clones, especially high-risk, multidrug-resistant strains like ST131, ST1193, and ST410. The study offers a crucial stepping stone for future research into understanding how these plasmids influence more complex aspects of bacterial behavior, such as cell invasion and in vivo fitness.

Unravelling Robust Brain-Behavior Links of Depressive Symptoms Through Granular Network Models: Understanding Heterogeneity and Clinical Implications.

Background: Depressive symptoms are highly prevalent, present in heterogeneous symptom patterns, and share diverse neurobiological underpinnings. Understanding the links between psychopathological symptoms and biological factors is critical in elucidating its etiology and persistence. We aimed to evaluate the utility of using symptom-brain networks to parse the heterogeneity of depressive symptomatology in a large adolescent sample. Methods: We used data from the third wave of the IMAGEN study, a multi-center panel cohort study involving 1,317 adolescents (52.49% female, mean±SD age=18.5±0.72). Two network models were estimated: one including an overall depressive symptom severity sum score based on the Adolescent Depression Rating Scale (ADRS), and one incorporating individual ADRS symptom/item scores. Both networks included measures of cortical thickness in several regions (insula, cingulate, mOFC, fusiform gyrus) and hippocampal volume derived from neuroimaging. Results: The network based on individual symptom scores revealed associations between cortical thickness measures and specific symptoms, obscured when using an aggregate depression severity score. Notably, the insula's cortical thickness showed negative associations with cognitive dysfunction (partial cor.=-0.15); the cingulate's cortical thickness showed negative associations with feelings of worthlessness (partial cor. = -0.10), and mOFC was negatively associated with anhedonia (partial cor. = -0.05). Limitations: This cross-sectional study included participants who were relatively healthy and relied on the self-reported assessment of depression symptoms. Conclusions: This study showcases the utility of network models in parsing heterogeneity in depressive symptoms, linking individual symptoms to specific neural substrates. We outline the next steps to integrate neurobiological and cognitive markers to unravel MDD's phenotypic heterogeneity.

Aberrant functional brain network organization is associated with relapse during 1-year follow-up in alcohol-dependent patients.

Alcohol dependence (AD) is a debilitating disease associated with high relapse rates even after long periods of abstinence. Thus, elucidating neurobiological substrates of relapse risk is fundamental for the development of novel targeted interventions that could promote long-lasting abstinence. In the present study, we analysed resting-state functional magnetic resonance imaging (rsfMRI) data from a sample of recently detoxified patients with AD (n = 93) who were followed up for 12 months after rsfMRI assessment. Specifically, we employed graph theoretic analyses to compare functional brain network topology and functional connectivity between future relapsers (REL, n = 59), future abstainers (ABS, n = 28) and age- and gender-matched controls (CON, n = 83). Our results suggest increased whole-brain network segregation, decreased global network integration and overall blunted connectivity strength in REL compared with CON. Conversely, we found evidence for a comparable network architecture in ABS relative to CON. At the nodal level, REL exhibited decreased integration and decoupling between multiple brain systems compared with CON, encompassing regions associated with higher-order executive functions, sensory and reward processing. Among patients with AD, increased coupling between nodes implicated in reward valuation and salience attribution constitutes a particular risk factor for future relapse. Importantly, aberrant network organization in REL was consistently associated with shorter abstinence duration during follow-up, portending to a putative neural signature of relapse risk in AD. Future research should further evaluate the potential diagnostic value of the identified changes in network topology and functional connectivity for relapse prediction at the individual subject level.

Forgotten but not gone: A multi-state analysis of modern-day debt imprisonment.

In almost every state, courts can jail those who fail to pay fines, fees, and other court debts-even those resulting from traffic or other non-criminal violations. While debtors' prisons for private debts have been widely illegal in the United States for more than 150 years, the effect of courts aggressively pursuing unpaid fines and fees is that many Americans are nevertheless jailed for unpaid debts. However, heterogeneous, incomplete, and siloed records have made it difficult to understand the scope of debt imprisonment practices. We culled data from millions of records collected through hundreds of public records requests to county jails to produce a first-of-its-kind dataset documenting imprisonment for court debts in three U.S. states. Using these data, we present novel order-of-magnitude estimates of the prevalence of debt imprisonment, finding that between 2005 and 2018, around 38,000 residents of Texas and around 8,000 residents of Wisconsin were jailed each year for failure to pay (FTP), with the median individual spending one day in jail in both Texas and Wisconsin. Drawing on additional data on FTP warrants from Oklahoma, we also find that unpaid fines and fees leading to debt imprisonment most commonly come from traffic offenses, for which a typical Oklahoma court debtor owes around $250, or $500 if a warrant was issued for their arrest.

Pathological measurement and staging of residual breast cancer after neoadjuvant chemotherapy.

AIMS: The 8th Edition of the American Joint Committee on Cancer Staging System (yAJCC) excludes treatment-related fibrosis from the measurement of residual tumour after neoadjuvant chemotherapy (NAC) for breast cancer. The impact of the 8th Ed. yAJCC on post-NAC pathologic staging was examined in 188 breast cancer specimens from 183 patients with measurable residual tumour. METHODS: Tumour size, ypT, and ypN categories were reassessed with the current yACC criteria and compared to the original pathology reports. Histological patterns of response in the breast were categorised as concentric or scattered. RESULTS: The reassessed breast tumour size or ypT category differed from the original report in 101 (53.7%) cases. Changes in the ypT and/or ypN category resulted in downstaging of 45/185 (24.3%). A smaller reassessed tumour size or lower ypT category occurred more often in hormone receptor-positive/HER2-negative (HR+/HER2-) (68.3%) and HER2-positive (HER2+) tumours (74.0%) than triple-negative breast cancer (TNBC) (37.5%) (P < 0.001). A scattered pattern of response was more frequent in HR+/HER2- (54.9%) and HER2+ (66.0%) tumours than TNBC (35.7%) (P = 0.006). Changes in size, ypT, or multifocality based on the 8th Ed. yAJCC criteria were more frequent in tumours with a scattered pattern of response (P < 0.001). CONCLUSION: Strict adherence to yAJCC criteria for measurement of the residual breast tumour after NAC resulted in smaller tumour size, lower ypT category, lower yAJCC stage, and more frequent classification of residual tumour as multifocal. Downstaging based on 8th Ed. yAJCC criteria was associated with tumour subtype and histological pattern of response.

The Significance of Epidemic Plasmids in the Success of Multidrug-Resistant Drug Pandemic Extraintestinal Pathogenic Escherichia coli.

Epidemic IncF plasmids have been pivotal in the selective advantage of multidrug-resistant (MDR) extraintestinal pathogenic Escherichia coli (ExPEC). These plasmids have offered several advantages to their hosts that allowed them to coevolve with the bacterial host genomes and played an integral role in the success of ExPEC. IncF plasmids are large, mosaic, and often contain various types of antimicrobial resistance (AMR) and virulence associated factor (VAF) genes. The presence of AMR, VAF genes, several addition/restriction systems combined with truncated transfer regions, led to the fixation of IncF plasmids in certain ExPEC MDR clones, such as ST131 and ST410. IncF plasmids entered the ST131 ancestral lineage in the mid 1900s and different ST131 clade/CTX-M plasmid combinations coevolved over time. The IncF_CTX-M-15/ST131-C2 subclade combination emerged during the early 2000s, spread rapidly across the globe, and is one of the greatest clone/plasmid successes of the millennium. The ST410-B3 subclade containing blaCTX-M-15 incorporated the NDM-5 carbapenemase gene into existing IncF platforms, providing an additional positive selective advantage that included the carbapenems. A "plasmid-replacement" clade scenario occurred in the histories of ST131 and ST410 as different subclades gained different AMR genes on different IncF platforms. The use of antimicrobial agents will generate selection pressures that enhance the risks for the continuous emergence of MDR ExPEC clone/IncF plasmid combinations. The reasons for clade/IncF replacements and associations between certain clades and specific IncF plasmid types are unknown. Such information will aid in designing management and prevention strategies to combat AMR.

A fast and intuitive method for calculating dynamic network reconfiguration and node flexibility.

Dynamic interactions between brain regions, either during rest or performance of cognitive tasks, have been studied extensively using a wide variance of methods. Although some of these methods allow elegant mathematical interpretations of the data, they can easily become computationally expensive or difficult to interpret and compare between subjects or groups. Here, we propose an intuitive and computationally efficient method to measure dynamic reconfiguration of brain regions, also termed flexibility. Our flexibility measure is defined in relation to an a-priori set of biologically plausible brain modules (or networks) and does not rely on a stochastic data-driven module estimation, which, in turn, minimizes computational burden. The change of affiliation of brain regions over time with respect to these a-priori template modules is used as an indicator of brain network flexibility. We demonstrate that our proposed method yields highly similar patterns of whole-brain network reconfiguration (i.e., flexibility) during a working memory task as compared to a previous study that uses a data-driven, but computationally more expensive method. This result illustrates that the use of a fixed modular framework allows for valid, yet more efficient estimation of whole-brain flexibility, while the method additionally supports more fine-grained (e.g. node and group of nodes scale) flexibility analyses restricted to biologically plausible brain networks.

Molecular Epidemiology of Global Carbapenemase-Producing Citrobacter spp. (2015-2017).

The emergence of carbapenem resistance is a significant public health concern. The rate of infections caused by carbapenemase-producing Citrobacter spp., particularly C. freundii, is increasing. Concomitantly, comprehensive global genomic data on carbapenemase-producing Citrobacter spp. are scarce. We used short read whole-genome sequencing to describe the molecular epidemiology and international distribution of eighty-six carbapenemase-producing Citrobacter spp. obtained from two surveillance programs (2015 to 17). The common carbapenemases were KPC-2 (26%), VIM-1 (17%), IMP-4 (14%) and NDM-1 (10%). C. freundii and C. portucalensis were the principal species. C. freundii consisted of multiple clones obtained mainly from Colombia (with KPC-2), the United States (with KPC-2, -3), and Italy (with VIM-1). Two dominant C. freundii clones were identified: ST98 was linked with blaIMP-8 from Taiwan and blaKPC-2 from the United States, and ST22 was linked with blaKPC-2 from Colombia and blaVIM-1 from Italy. C. portucalensis consisted mainly of two clones: ST493 with blaIMP-4 which was limited to Australia, and ST545 with blaVIM-31 which was limited to Turkey. Class I integron (In916) with blaVIM-1 was circulating between multiple sequence types (STs) in Italy, Poland, and Portugal. In73 with blaIMP-8 was circulating between various STs in Taiwan, while In809 with blaIMP-4 was circulating between different STs in Australia. The global carbapenemase-producing Citrobacter spp. population is dominated by diverse STs with different characteristics and varied geographical distribution and thus requires continued monitoring. Ongoing genomic surveillance should use methodologies able to distinguish between C. freundii and C. portucalensis. IMPORTANCE Citrobacter spp. are gaining recognition as important causes of hospital-acquired infections in humans. Among Citrobacter spp., carbapenemase-producing strains are cause of utmost concern to health care services globally due to their ability to resist therapy with virtually any beta-lactam antibiotic. Here, we described the molecular characteristics of a global collection of carbapenemase-producing Citrobacter spp. C. freundii and C. portucalensis were the most common species among Citrobacter spp. with carbapenemases from this survey. Importantly, C. portucalensis was misidentified as C. freundii when using Vitek 2.0/MALDI-TOF MS (matrix-assisted laser desorption/ionization-time of flight mass spectrometry) phenotypic identification, which has important implications for future surveys. Among C. freundii, we identified two dominant clones: ST98 with blaIMP-8 from Taiwan and blaKPC-2 from the United States, and ST22 with blaKPC-2 from Colombia and blaVIM-1 from Italy. As for C. portucalensis, the dominant clones consisted of ST493 with blaIMP-4 from Australia and ST545 with blaVIM-31 from Turkey.

The role of anticipated emotions in self-control: linking self-control and the anticipatory ability to engage emotions associated with upcoming events.

Self-control is typically attributed to "cold" cognitive control mechanisms that top-down influence "hot" affective impulses or emotions. In this study we tested an alternative view, assuming that self-control also rests on the ability to anticipate emotions directed toward future consequences. Using a behavioral within-subject design including an emotion regulation task measuring the ability to voluntarily engage anticipated emotions towards an upcoming event and a self-control task in which subjects were confronted with a variety of everyday conflict situations, we examined the relationship between self-control and anticipated emotions. We found that those individuals (n = 33 healthy individuals from the general population) who were better able to engage anticipated emotions to an upcoming event showed stronger levels of self-control in situations where it was necessary to resist short-term temptations or to endure short-term aversions to achieve long-term goals. This finding suggests that anticipated emotions may play a functional role in self-control-relevant deliberations with respect to possible future consequences and are not only inhibited top-down as implied by "dual system" views on self-control.

Acquisition of genomic elements were pivotal for the success of Escherichia coli ST410.

BACKGROUND: Escherichia coli ST410 is an emerging MDR clone linked to blaCTX-M-15 and blaOXA-181. Limited comprehensive data about the global distribution of ST410 clades and mobile genetic elements associated with different ß-lactamases are available. METHODS: Short- and long-read WGS were performed on a collection of ST410 producing carbapenemases (n = 45) obtained from 11 countries. The evolutionary history of global E. coli ST410 was also investigated. RESULTS: OXA-181 and NDM-5 were the most frequent carbapenemases and used different underlying strategies to ensure their successful association with ST410 clades. Our phylogenetic analysis of publicly available ST410 genomes amended the previously published ST410 B subclades: ST410-B1 is identical to B1/H24, ST410-B2 includes B2/H24R and B3/H24Rx, while ST410-B3 corresponds to B4/H24RxC. Long-read WGS identified the following genomic events that likely shaped the evolution of ST410-B3: (i) gyrA and parC mutations were acquired via homologous recombination events; (ii) chromosomal integration of blaCMY-2 among ST410-B3; (iii) the emergence of ST410-B3 from ST410-B2 was accompanied by the replacement of IncFII plasmids harbouring blaCTX-M-15 (i.e. F36:31:A4:B1 in ST410-B2 with F1:A1:B49 plasmids in ST410-B3); and (iv) the NDM-5 gene was integrated within F1:A1:B49 plasmids over time. CONCLUSIONS: The global ST410 population producing carbapenemases is dominated by the ST410-B2 and B3 subclades with varied geographical distribution that requires ongoing genomic surveillance. We provided an updated timeline of pivotal genomic events that have shaped the success of the ST410-B3 subclade.

Escherichia coli sequence type 73 bloodstream infections in a centralized Canadian region and their association with companion animals: an ecological study.

PURPOSE: Extraintestinal pathogenic E. coli (ExPEC) are important pathogens causing community-acquired infections in humans, including bloodstream infections (BSIs), and may also colonize and infect animals. Our aim was to investigate associations between incidence rates (IRs) of BSIs caused by ExPEC and number of dogs and cats in communities in Calgary. METHODS: We used a well-characterized collection of blood isolates (n = 685) from Calgary, Alberta, Canada (2016). We used a combination of a seven-single-nucleotide-polymorphism quantitative PCR to type ExPEC into sequence types (STs). Calgary census data were used to estimate IRs per city community, as well as to investigate associations between number of companion animals per community, as obtained from licensing data, and IR of BSIs caused by each dominant ST. RESULTS: From the 685 isolates available, ExPEC ST131 was most prevalent (21.3% of included isolates), followed by ST73 (13.7%), ST69 (8.2%), ST95 (6.7%), and ST1193 (5.3%), respectively. Incidence of BSIs caused by ExPECs among Calgary residents was 48.8 cases per 100,000 resident-years, whereas communities had on average of 1.7 companion animals per 10 residents. No association between the number of dogs and IR of BSIs caused by ExPECs was detected for any ST. Conversely, the incidence rate of BSIs caused by ST73 was 3.6 times higher (95%CI 1.3-9.99) for every increase of 1 cat per 10 habitants in communities. CONCLUSIONS: Number of cats per habitant was positively associated with the incidence of BSIs caused by ExPEC ST73.

Escherichia coli ST1193: Following in the Footsteps of E. coli ST131.

Escherichia coli ST1193 is an emerging global multidrug (MDR) high-risk clone and an important cause of community-onset urinary and bloodstream infections. ST1193 is imitating E. coli ST131, the most successful MDR clone of all time. Both clones emerged in the early 1990s by acquiring quinolone resistance-determining region (QRDR) mutations, IncF plasmids, virulence factors, and type 1 pilus (fimH) recombination. They are the only MDR clones that are dominant among unselected E. coli populations. ST131 is the most frequent clone and ST1193 the second most frequent clone among fluoroquinolone/cephalosporin-resistant E. coli isolates. Both clones have played pivotal roles in the global spread of MDR E. coli. ST1193 originated from ST clonal complex 14 (STc14), is lactose nonfermenting, belongs to phylogenetic group B2, and contains the O type O75. Global ST1193 prevalence has been increasing since 2012, even replacing ST131 in certain regions. blaCTX-M genes are rapidly expanding among ST1193 isolates, a scenario that occurred with ST131 during the 2000s. A validated PCR will enable global surveys to determine the extent of ST1193 among One Health E. coli isolates. The rapid emergence of ST1193 is concerning and is adding to the public health burden of MDR E. coli clones. Basic mechanistic, evolutionary, surveillance, and clinical studies are urgently required to investigate the success of ST1193. Such information will aid with management and prevention strategies. The medical community can ill afford to ignore the spread of another global successful MDR high-risk E. coli clone, especially one that is following in the footsteps of E. coli ST131.

Lessons from bright-spots for advancing knowledge exchange at the interface of marine science and policy.

Evidence-informed decision-making is in increasing demand given growing pressures on marine environments. A way to facilitate this is by knowledge exchange among marine scientists and decision-makers. While many barriers are reported in the literature, there are also examples whereby research has successfully informed marine decision-making (i.e., 'bright-spots'). Here, we identify and analyze 25 bright-spots from a wide range of marine fields, contexts, and locations to provide insights into how to improve knowledge exchange at the interface of marine science and policy. Through qualitative surveys we investigate what initiated the bright-spots, their goals, and approaches to knowledge exchange. We also seek to identify what outcomes/impacts have been achieved, the enablers of success, and what lessons can be learnt to guide future knowledge exchange efforts. Results show that a diversity of approaches were used for knowledge exchange, from consultative engagement to genuine knowledge co-production. We show that diverse successes at the interface of marine science and policy are achievable and include impacts on policy, people, and governance. Such successes were enabled by factors related to the actors, processes, support, context, and timing. For example, the importance of involving diverse actors and managing positive relationships is a key lesson for success. However, enabling routine success will require: 1) transforming the ways in which we train scientists to include a greater focus on interpersonal skills, 2) institutionalizing and supporting knowledge exchange activities in organizational agendas, 3) conceptualizing and implementing broader research impact metrics, and 4) transforming funding mechanisms to focus on need-based interventions, impact planning, and an acknowledgement of the required time and effort that underpin knowledge exchange activities.

Genomic Epidemiology of Global Carbapenemase-Producing Escherichia coli, 2015-2017.

We describe the global molecular epidemiology of 229 carbapenemase-producing Escherichia coli in 36 countries during 2015-2017. Common carbapenemases were oxacillinase (OXA) 181 (23%), New Delhi metallo-ß-lactamase (NDM) 5 (20%), OXA-48 (17%), Klebsiella pneumoniae carbapenemase 2 (15%), and NDM-1 (10%). We identified 5 dominant sequence types (STs); 4 were global (ST410, ST131, ST167, and ST405), and 1 (ST1284) was limited to Turkey. OXA-181 was frequent in Jordan (because of the ST410-B4/H24RxC subclade) and Turkey (because of ST1284). We found nearly identical IncX3-blaOXA-181 plasmids among 11 STs from 12 countries. NDM-5 was frequent in Egypt, Thailand (linked with ST410-B4/H24RxC and ST167-B subclades), and Vietnam (because of ST448). OXA-48 was common in Turkey (linked with ST11260). Global K. pneumoniae carbapenemases were linked with ST131 C1/H30 subclade and NDM-1 with various STs. The global carbapenemase E. coli population is dominated by diverse STs with different characteristics and varied geographic distributions, requiring ongoing genomic surveillance.