Wastewater Surveillance for Identifying SARS-CoV-2 Infections in Long-Term Care Facilities, Kentucky, USA, 2021-2022.

Persons living in long-term care facilities (LTCFs) were disproportionately affected by COVID-19. We used wastewater surveillance to detect SARS-CoV-2 infection in this setting by collecting and testing 24-hour composite wastewater samples 2-4 times weekly at 6 LTCFs in Kentucky, USA, during March 2021-February 2022. The LTCFs routinely tested staff and symptomatic and exposed residents for SARS-CoV-2 using rapid antigen tests. Of 780 wastewater samples analyzed, 22% (n = 173) had detectable SARS-CoV-2 RNA. The LTCFs reported 161 positive (of 16,905) SARS-CoV-2 clinical tests. The wastewater SARS-CoV-2 signal showed variable correlation with clinical test data; we observed the strongest correlations in the LTCFs with the most positive clinical tests (n = 45 and n = 58). Wastewater surveillance was 48% sensitive and 80% specific in identifying SARS-CoV-2 infections found on clinical testing, which was limited by frequency, coverage, and rapid antigen test performance.

An interview with Cagney Coomer.

Dr Cagney Coomer received her PhD with Ann Morris at the University of Kentucky, where she studied zebrafish retinal development and regeneration, and is currently a postdoctoral researcher in Marnie Halpern's lab in the Geisel School of Medicine at Dartmouth College. In 2020, she was awarded the Society of Developmental Biology's inaugural Trainee Science Communication Award for her work with NERD SQUAD Inc, the non-profit STEM outreach organization she founded that is dedicated to inspiring the next great minds by bringing science to life. Over a virtual chat, we discussed her experiences in the lab, the classroom and the community centre, and why she thinks outreach and role models are vital to science.

Geographic variation of HPV-associated cancer incidence in Kentucky using spatial scan statistics.

PURPOSE: Populations with high cancer risk that are targeted for screening, education, and vaccination have been shown to increase rates of screening, which ultimately may improve timing of diagnosis and overall outcome for certain cancers. Spatial scan analysis provides a visual representation of areas with higher rates of disease. Limited research has used this methodology to assess HPV-associated cancers. Using, spatial scan statistics, our goal was to identify regions within Kentucky having significantly higher rates of HPV-associated tumors. These regions can be targeted for public health efforts in the form of education, vaccination, screening, and physician recruitment. METHODS: The Kentucky Cancer Registry data from 1995 to 2016 and spatial scan statistics were used to identify county-level clusters with high-incidence of HPV-associated cancers after adjustment for age and sex. Anatomic sites included in this analysis were oropharynx, cervix, anus, penis, and vulva. RESULTS: There was one high-rate cluster of oropharyngeal cancer, which was observed in the Louisville metropolitan region (Relative Risk [RR] = 1.24, p < 0.001). One high-rate cluster of anal and penile cancer incidence in men was identified that partially overlapped with the oropharyngeal cluster. There were five clusters of higher cervical, vulvar, and anal cancer incidence in females, one of which overlapped with the oropharyngeal cluster. CONCLUSION: Overlapping clusters of HPV-associated cancers were identified at the county-level and included both urban and rural counties of Kentucky. Findings can assist in the design of public health interventions to increase screenings, promote vaccination, and recruit physicians in these regions to improve prevention, diagnosis, and early treatment of HPV-associated cancers.

Predictors of engagement in screening for a hepatitis C virus (HCV) treatment trial in a rural Appalachian community.

An HCV treatment trial was initiated in September 2019 to address the opioid/hepatitis C virus (HCV) syndemic in rural Kentucky. The focus of the current analysis is on participation in diagnostic screening for the trial. Initial eligibility (≥18 years of age, county resident) was established by phone followed by in-person HCV viremia testing. 900 rural residents met the inclusion criteria and comprised the analytic sample. Generalized linear models were specified to estimate the relative risk of non-attendance at the in-person visit determining HCV eligibility. Approximately one-quarter (22.1%) of scheduled participants were no-shows. People who inject drugs were no more likely than people not injecting drugs to be a no-show; however, participants ≤35 years of age were significantly less likely to attend. While the median time between phone screening and scheduled in-person screening was only 2 days, each additional day increased the odds of no-show by 3% (95% confidence interval: 2%-3%). Finally, unknown HCV status predicted no-show even after adjustment for age, gender, days between screenings and injection status. We found that drug injection did not predict no-show, further justifying expanded access to HCV treatment among people who inject drugs. Those 35 years and younger were more likely to no-show, suggesting that younger individuals may require targeted strategies for increasing testing and treatment uptake. Finally, streamlining the treatment cascade may also improve outcomes, as participants in the current study were more likely to attend if there were fewer days between phone screening and scheduled in-person screening.

Wastewater-Informed Digital Advertising as a COVID-19 Geotargeted Neighborhood Intervention: Jefferson County, Kentucky, 2021-2022.

We sought to deliver a geotargeted digital health advertising intervention. We assessed risk of community infection through an integrated public health and wastewater rubric and delivered advertisements between November 2021 and April 2022 in Louisville, Kentucky. The average daily click-through rates for the campaigns were 0.19%, 0.15%, and 0.13%. Results show potential for digital public health interventions that are geographically anchored to subcity sewersheds and community interest and willingness to engage with targeted wastewater-themed public health messaging. (Am J Public Health. 2024;114(1):34-37. https://doi.org/10.2105/AJPH.2023.307439).

Latent Class Analysis of Online Platforms for Partner-Seeking and Sexual Behaviors Among Men Who Have Sex with Men from Central Kentucky.

Little is known whether engagement in sexual behaviors associated with potential HIV risks differs by subgroups of men who have sex with men (MSM), who are distinct regarding patterns of use of online tools for partner-seeking. Using latent class analysis, we revealed four classes of app-using MSM (n = 181, 18-34 y.o., 82.4% identified as White and non-Hispanic) residing in Central Kentucky: the Grindr/Tinder class; the Poly App Use class of MSM-oriented apps; the General Social Media class, and the Bumble class. Unadjusted penalized logistic regressions showed associations of the Poly App Use class with increased numbers of receptive anal sex partners and reporting condomless receptive anal sex. Adjusting for other covariates, poly app users versus others were more likely to be older (25-34 vs. 18-24, AOR = 3.81, 95%CI = 1.70-9.03), to report past six-month illicit drug use (AOR = 2.93, 95%CI = 1.25-7.43) and to have ever used pre-exposure prophylaxis (AOR = 2.79, 95%CI = 1.10-7.12). Poly app users had behavior profiles associated with an elevated HIV risk and also reported HIV-related protective behaviors likely indicating increased risk awareness among this class. Our findings warrant differentiation of behavior profiles by patterns of app use and suggest not to generalize sexual behaviors associated with potential HIV risks to all app-using MSM.

RESUMEN: Poco se sabe si la participación en comportamientos sexuales asociados con riesgos potenciales de VIH difiere según distintos subgrupos de hombres que tienen sexo con hombres (HSH) en base a patrones en el uso de herramientas online para la búsqueda de pareja. Mediante el análisis de clases latentes, identificamos cuatro clases de HSH que usan aplicaciones (n = 181, 18­34 años, 82.4% identificados como Blancos y no-Hispanos) y residen en Kentucky Central: la clase Grindr/Tinder, la clase Poly App Use de aplicaciones orientadas a HSH, la clase General Social Media y la clase Bumble. Las regresiones logísticas penalizadas no ajustadas mostraron asociaciones de la clase Poly App Use con un alza en el número de parejas receptivas en relaciones sexuales anales y con reportes de sexo anal receptivo sin condón. Al ajustar por otras covariables, los miembros de la clase Poly App Use, con respecto a las otras clases, tuvieron más probabilidades de ser mayores (25­34 vs. 18­24, ORA = 3,81; IC95%=1,70 − 9,03), de informar el uso de drogas ilícitas en los últimos 6 meses (ORA = 2,93; IC95%=1,25 − 7,43) y haber utilizado alguna vez profilaxis-preexposición (ORA = 2,79; IC95%=1,10 − 7,12). Así mismo, los miembros de esta clase tuvieron perfiles de comportamiento asociado con el riesgo elevado de VIH y también informaron comportamientos de protección relacionados con el VIH que probablemente indican una mayor conciencia del riesgo entre ellos. Nuestros hallazgos justifican la diferenciación de perfiles de comportamiento en base a patrones de uso de aplicaciones y sugieren no generalizar los comportamientos sexuales asociados con riesgos potenciales de VIH a todos los HSH que las usan.

Morphology, photosynthetic and molecular mechanisms associated with powdery mildew resistance in Kentucky bluegrass.

Kentucky bluegrass (Poa pratensis L.), one of the most widely used cool-season turfgrasses around the world, is sensitive to powdery mildew (PM; Blumeria graminis). The PM strain identification and regulation mechanisms of Kentucky bluegrass in response to pathogens still remain unclear. Through morphological and molecular analyses, we identified that the pathogen in Kentucky bluegrass was B. graminis f. sp. poae. The infection of B. graminis led to a reduction of the sclerenchyma area, expansion of vesicular cells and movement of chloroplasts. The infected leaves had significantly lower values in net photosynthesis, stomatal conductance and transpiration rate, maximal quantum yield of PSII photochemistry, photochemical quenching and non-regulated energy dissipation compared to mock-inoculated leaves. Expressions of light-harvesting antenna protein genes LHCA and LHCB and photosynthetic electron transport genes petE and petH decreased significantly in infected leaves. Furthermore, upregulations of genes involved in plant-pathogen interaction, such as HSP90, RBOH, and RPM and downregulations of EDS, RPS and WRKY were observed in infected leaves. The findings may help design a feasible approach to effectively control the PM disease in Kentucky bluegrass and other related perennial grass species.

Predictive power of wastewater for nowcasting infectious disease transmission: A retrospective case study of five sewershed areas in Louisville, Kentucky.

BACKGROUND: Epidemiological nowcasting traditionally relies on count surveillance data. The availability and quality of such count data may vary over time, limiting representation of true infections. Wastewater data correlates with traditional surveillance data and may provide additional value for nowcasting disease trends. METHODS: We obtained SARS-CoV-2 case, death, wastewater, and serosurvey data for Jefferson County, Kentucky (USA), between August 2020 and March 2021, and parameterized an existing nowcasting model using combinations of these data. We assessed the predictive performance and variability at the sewershed level and compared the effects of adding or replacing wastewater data to case and death reports. FINDINGS: Adding wastewater data minimally improved the predictive performance of nowcasts compared to a model fitted to case and death data (Weighted Interval Score (WIS) 0.208 versus 0.223), and reduced the predictive performance compared to a model fitted to deaths data (WIS 0.517 versus 0.500). Adding wastewater data to deaths data improved the nowcasts agreement to estimates from models using cases and deaths data. These findings were consistent across individual sewersheds as well as for models fit to the aggregated total data of 5 sewersheds. Retrospective reconstructions of epidemiological dynamics created using different combinations of data were in general agreement (coverage >75%). INTERPRETATION: These findings show wastewater data may be valuable for infectious disease nowcasting when clinical surveillance data are absent, such as early in a pandemic or in low-resource settings where systematic collection of epidemiologic data is difficult.

Maltreatment, resilience, and sexual relationship power in a sample of justice-involved women with opioid use disorder.

Justice-involved women frequently report maltreatment and intimate relationships characterized by violence and abuse throughout adulthood. The present study aimed to (a) investigate the association between victimization and sexual relationship power (SRP) among justice-involved women with opioid use disorder (OUD) and (b) explore resilience as a potential moderating factor of the association between victimization and SRP. Under the ongoing Kentucky Justice Community Opioid Innovation Network (JCOIN) cooperative, justice-involved women (N = 700) were randomly selected from eight jails in Kentucky, screened for OUD, consented to participate, and interviewed by research staff. SRP was examined using the Sexual Relationship Power Scale, a validated instrument with two distinct subscales measuring decision-making dominance (DMD) and relationship control (RC); prior maltreatment was measured using the Global Appraisal of Individual Needs General Victimization Scale, and resilience was assessed using the Brief Resilience Scale. Linear regression was used to examine the association between maltreatment and SRP, with three models constructed to account for SRP, DMD, and RC, controlled for demographic characteristics. Finally, we examined whether the association between victimization and SRP varied as a function of resilience. Significant negative associations between maltreatment and the SRP were observed, ps < .001. Resilience moderated the association between maltreatment and DMD, p = .005; however, resilience did not moderate the associations between maltreatment and SRP, p = .141, or RC, p = .735. These findings highlight the importance of increasing resilience in justice-involved women with OUD to reduce the impact of maltreatment on SRP. Prioritizing resilience may offer significant benefits for preventing and addressing maltreatment.

Incidence Rates and Outcomes of Nodular and Superficial Spreading Melanoma along the Rural-Urban Continuum in Kentucky and Their Relationship to Provider Care Access.

OBJECTIVES: This study compared incidence rates, stage at presentation, and cause-specific mortality of nodular and superficial spreading melanoma along the rural-urban continuum in Kentucky. We compared resulting patterns in our data with sample demographic and other potential factors, including population by county and primary care provider rate. METHODS: Retrospective patient data were extracted from the Surveillance, Epidemiology, and End Results database from 2010 through 2017. These data were supplemented by environmental, demographic, and socioeconomic data derived from publicly accessible databases. Correlation and χ2 analyses were used to test for significant differences in outcome variables by US Department of Agriculture Rural-Urban Continuum Code (RUCC) categories and other potential predictor variables. RESULTS: Incidence rates by Kentucky county were not associated with RUCC or population; likewise, there was no relationship between stage at presentation and RUCC category. There was, however, a highly significant association between cause-specific mortality and RUCC; patients from rural areas were significantly more likely to die from melanoma than those in urban areas. This overall difference was due to differences in mortality for superficial spreading melanoma. CONCLUSIONS: Our results suggest that a disparity in patients' ability or tendency to access primary care and/or specialist providers postdiagnosis may be critical factors in determining the ultimate outcome of a melanoma diagnosis. Further studies should explore the availability of dermatologists and/or treatment options for melanoma in rural areas. Our data also provide additional support for inclusion of melanoma subtype in the American Joint Committee on Cancer guidelines.

Leaf Spot Disease Development and Its Effect on Yield of Essential Oil-Producing Hemp Cultivars in Kentucky.

Leaf spot diseases are common on field hemp, causing defoliation, and blighting. The most prevalent leaf spot diseases of hemp in Kentucky are Bipolaris leaf spot (Bipolaris gigantea), Cercospora leaf spot (Cercospora flagellaris), and Septoria leaf spot (Septoria cannabis). In this study, disease progression, cultivar susceptibility, and yield loss were examined using cultivars from four relatedness groups at two locations and in two growing seasons. Septoria leaf spot was the first leaf spot disease to be observed in the field, followed by Bipolaris leaf spot. Both diseases reduced canopy density. Cercospora leaf spot developed in the late reproductive stages as harvest approached. A wide range of susceptibility was documented, suggesting genetic variability across cultivars. Trump group cultivars were the most susceptible, while Otto II group cultivars were the least susceptible. Most importantly, leaf spot diseases had minimal influence on floral biomass and no effect on CBD yield, suggesting that, regardless of disease severity, leaf spot diseases may seldom warrant management. While the importance of foliar disease and corresponding yield loss can shift over time, variation in disease progress among leaf spot diseases and susceptibility of hemp cultivars documented in this study suggest potential disease management through cultural practices such as cultivar and planting date selections.

The Teledermatology Experience: Cost Savings and Image Quality Control.

Introduction: Teledermatology adoption continues to increase, in part, spurred by the COVID-19 pandemic. This study analyzes the utility and cost savings of a store-and-forward teledermatology consultative system within the Veterans Health Administration (VA). Methods: Retrospective cohort of 4,493 patients across 14 remote sites in Tennessee and Kentucky from May 2017 through August 2019. The study measured the agreement between the teledermatology diagnoses and follow-up face-to-face clinic evaluations as well as the cost effectiveness of the teledermatology program over the study period. Results: Fifty-four percent of patients were recommended for face-to-face appointment for biopsy or further evaluation. Most patients, 80.5% received their face-to-face care by a VA dermatologist. There was a high level of concordance between teledermatologist and clinic dermatologist for pre-malignant and malignant cutaneous conditions. Veterans were seen faster at a VA clinic compared with a community dermatology site. Image quality improved as photographers incorporated teledermatologist feedback. From a cost perspective, teledermatology saved the VA system $1,076,000 in community care costs. Discussion: Teledermatology is a useful diagnostic tool within the VA system providing Veteran care at a cost savings.

Enhancing Role Integrity for Peer Workers.

Although informal peer support has been a central feature of recovery for people with substance use disorder (SUD), more recently there has been a stark increase in formal models of peer support. In the infancy of formalized peer support, researchers warned of potential threats to the integrity of the peer support role. Now, almost two decades into the rapid expansion of peer support, research has yet to evaluate the extent to which peer support is being implemented with fidelity and role integrity. The present study aimed to assess peer workers' perceptions of peer role integrity. Qualitative interviews were conducted with 21 peer workers in Central Kentucky. Results suggest that the role of peers is not well understood by onboarding organizations, and thus, the integrity of peer support is diluted. Findings from this study suggest room for improvement in the training, supervision, and implementation of peer support.

[Genetic characterization and drug resistance analysis of Salmonella Kentucky ST314 in Shenzhen in 2010-2021].

OBJECTIVE: To understand the prevalence, genetic characteristics and drug resistance features of Salmonella Kentucky ST314 in Shenzhen. METHODS: Whole genome sequencing of 14 strains of Salmonella Kentucky ST314 collected from 2010-2021 by the Foodborne Disease Surveillance Network of Shenzhen Center for Disease Control and Prevention for phylogenetic evolutionary analysis, drug resistance gene and plasmid detection; drug susceptibility experiments were performed by micro-broth dilution method. RESULTS: A total of 57 strains of Salmonella Kentucky were collected from the foodborne disease surveillance network, 14 of which were ST314. The Shenzhen isolates were clustered with isolates from Southeast Asian countries such as Vietnam and Thailand on clade 314.2, and the single nucleotide polymorphism distance between local strains in Shenzhen was large, indicating dissemination. In this study, a total of 17 drug resistance genes/mutations in 9 categories were detected in the genome of Salmonella Kentucky ST314, carrying 3 extended spectrum beta-lactamases(ESBLs), including bla_(CTX-M-24)(14.3%, 2/14), bla_(CTX-M-55)(7.1%, 1/14), and bla_(CTX-M-130)(14.3%, 2/14), all located on plasmids. Regarding quinolone resistance factors, two plasmid-mediated quinolone resistance(PMQR) genes were identified in the genome: qnrB6(71.4%, 10/14) and aac(6')Ib-cr(78.6%, 11/14), a quinolone resistance quinolone resistance-determining regions(QRDR) mutation T57 S(100%, 14/14). The multi-drug resistance rate of Salmonella Kentucky ST314 in Shenzhen was 92.86%(13/14)with the highest rate of resistance to tetracycline and cotrimoxazole(100%, 14/14), followed by chloramphenicol(92.86%, 13/14), cefotaxime and ampicillin(78.57%, 11/14), ciprofloxacin and nalidixic acid(71.43%, 10/14), and ampicillin-sulbactam had the lowest resistance rate(21.43%, 3/14). CONCLUSION: ST314 is the second most prevalent ST type among Salmonella Kentucky in Shenzhen, mainly isolated from food, especially poultry; phylogenetic analysis suggests that ST314 is a disseminated infection and the genome shows a highly genetically conserved phenotype. Drug resistance of Salmonella Kentucky ST314 is very serious, especially QRDR mutation, PMQR gene co-mediated quinolone resistance and plasmid-mediated cephalosporin resistance are prominent and deserve extensive attention.

Temporal Trends in Public Stroke Knowledge, 1995-2021.

BACKGROUND: Outreach campaigns have sought to reduce the burden of stroke by improving knowledge of stroke risk factors (RF) and warning signs (WS). We describe trends in stroke knowledge from 1995 to 2021. METHODS: From 1995 to 2021, 6 separate surveys were conducted in the Greater Cincinnati Northern Kentucky Region. Temporal trends in RF/WS knowledge were analyzed using logistic regression adjusting for Race, sex, age, and education. RESULTS: In 1995, 28.6% of participants (537/1880) could name ≥2 WS, compared with 50.6% (983/1944) in 2021 (trend P<0.0001 after adjustment). In 1995, 44.5% of participants (836/1880) knew ≥2 RF, compared with 56.7% (1103/1944) in 2021 (trend P<0.0001 after adjustment). Although still improved compared with 1995, fewer participants could identify ≥2 RF in 2021 (1103/1944, 56.7%) when compared with 2011 (1287/2036, 63.2%, pairwise P<0.05). This decline in RF knowledge was disproportionately larger in women (odds ratio of 0.67 for knowledge in 2021 compared with 2011 in females, P=0.047 for the interaction between sex and study year). CONCLUSIONS: Although stroke knowledge has overall improved since 1995, there is evidence for lost gains since 2011, particularly in women. Stroke outreach campaigns need ongoing evaluation.

Misdiagnosis of Clostridioides difficile Infections by Standard-of-Care Specimen Collection and Testing among Hospitalized Adults, Louisville, Kentucky, USA, 2019-20201.

Although Clostridioides difficile infection (CDI) incidence is high in the United States, standard-of-care (SOC) stool collection and testing practices might result in incidence overestimation or underestimation. We conducted diarrhea surveillance among inpatients >50 years of age in Louisville, Kentucky, USA, during October 14, 2019-October 13, 2020; concurrent SOC stool collection and CDI testing occurred independently. A study CDI case was nucleic acid amplification test‒/cytotoxicity neutralization assay‒positive or nucleic acid amplification test‒positive stool in a patient with pseudomembranous colitis. Study incidence was adjusted for hospitalization share and specimen collection rate and, in a sensitivity analysis, for diarrhea cases without study testing. SOC hospitalized CDI incidence was 121/100,000 population/year; study incidence was 154/100,000 population/year and, in sensitivity analysis, 202/100,000 population/year. Of 75 SOC CDI cases, 12 (16.0%) were not study diagnosed; of 109 study CDI cases, 44 (40.4%) were not SOC diagnosed. CDI incidence estimates based on SOC CDI testing are probably underestimated.

Deep Neural Networks for Fine-Grained Surveillance of Overdose Mortality.

Surveillance of drug overdose deaths relies on death certificates for identification of the substances that caused death. Drugs and drug classes can be identified through the International Classification of Diseases, Tenth Revision (ICD-10), codes present on death certificates. However, ICD-10 codes do not always provide high levels of specificity in drug identification. To achieve more fine-grained identification of substances on death certificate, the free-text cause-of-death section, completed by the medical certifier, must be analyzed. Current methods for analyzing free-text death certificates rely solely on lookup tables for identifying specific substances, which must be frequently updated and maintained. To improve identification of drugs on death certificates, a deep-learning named-entity recognition model was developed, utilizing data from the Kentucky Drug Overdose Fatality Surveillance System (2014-2019), which achieved an F1-score of 99.13%. This model can identify new drug misspellings and novel substances that are not present on current surveillance lookup tables, enhancing the surveillance of drug overdose deaths.

Influence of depression on breast cancer treatment and survival: A Kentucky population-based study.

BACKGROUND: Depression is common among breast cancer patients and can affect concordance with guideline-recommended treatment plans. Yet, the impact of depression on cancer treatment and survival is understudied, particularly in relation to the timing of the depression diagnosis. METHODS: The Kentucky Cancer Registry data was used to identify female patients diagnosed with primary invasive breast cancer who were 20 years of age or older in 2007-2011. Patients were classified as having no depression, depression pre-cancer diagnosis only, depression post- cancer diagnosis only, or persistent depression. The impact of depression on receiving guideline-recommended treatment and survival was examined using multivariable logistic regression and Cox regression, respectively. RESULTS: Of 6054 eligible patients, 4.1%, 3.7%, and 6.2% patients had persistent depression, depression pre-diagnosis only, and depression post-diagnosis only, respectively. A total of 1770 (29.2%) patients did not receive guideline-recommended cancer treatment. Compared to patients with no depression, the odds of receiving guideline-recommended treatment were decreased in patients with depression pre-diagnosis only (odds ratio [OR], 0.75; 95% confidence interval [CI], 0.54-1.04) but not in patients with post-diagnosis only or persistent depression. Depression post-diagnosis only (hazard ratio, 1.51; 95% CI, 1.24-1.83) and depression pre-diagnosis only (hazard ratio, 1.26; 95% CI, 0.99-1.59) were associated with worse survival. No significant difference in survival was found between patients with persistent depression and patients with no depression (p > .05). CONCLUSIONS: Neglecting depression management after a breast cancer diagnosis may result in poorer cancer treatment concordance and worse survival. Early detection and consistent management of depression is critical in improving patient survival.

Carbon and nitrogen metabolism affects kentucky bluegrass rhizome expansion.

BACKGROUND: Rhizome is vital for carbon and nitrogen metabolism of the whole plant. However, the effect of carbon and nitrogen in the rhizome on rhizome expansion remains unclear. RESULTS: Three wild Kentucky bluegrass (Poa pratensis L.) germplasms with different rhizome expansion capacity (strong expansion capacity, 'YZ'; medium expansion capacity, 'WY'; and weak expansion capacity, 'AD') were planted in the field and the rhizomes number, tiller number, rhizome dry weight, physiological indicators and enzyme activity associated carbon and nitrogen metabolisms were measured. Liquid chromatography coupled to mass spectrometry (LC-MS) was utilized to analyze the metabolomic of the rhizomes. The results showed that the rhizome and tiller numbers of the YZ were 3.26 and 2.69-fold of that of the AD, respectively. The aboveground dry weight of the YZ was the greatest among all three germplasms. Contents of soluble sugar, starch, sucrose, NO3--N, and free amino acid were significantly higher in rhizomes of the YZ than those of the WY and AD (P < 0.05). The activities of glutamine synthetase (GS), glutamate dehydrogenase (GDH) and sucrose phosphate synthase (SPS) of the YZ were the highest among all three germplasm, with values of 17.73 A·g- 1 h- 1, 5.96 µmol·g- 1 min- 1, and 11.35 mg·g- 1 h- 1, respectively. Metabolomics analyses revealed that a total of 28 differentially expressed metabolites (DEMs) were up-regulated, and 25 DEMs were down-regulated in both comparison groups (AD vs. YZ group and WY vs. YZ group). Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis demonstrated that metabolites related to histidine metabolism, tyrosine metabolism, tryptophan metabolism, and phenylalanine metabolism were associated with rhizomes carbon and nitrogen metabolism. CONCLUSIONS: Overall, the results suggest that soluble sugar, starch, sucrose, NO3--N, and free amino acid in rhizome are important to and promote rhizome expansion in Kentucky bluegrass, while tryptamine, 3-methylhistidine, 3-indoleacetonitrile, indole, and histamine may be key metabolites in promoting carbon and nitrogen metabolism of rhizome.

Poultry production as the main reservoir of ciprofloxacin- and tigecycline-resistant extended-spectrum ß-lactamase (ESBL)-producing Salmonella enterica serovar Kentucky ST198.2-2 causing human infections in China.

Salmonella enterica serovar Kentucky (S. Kentucky) has been regarded as a common serotype causing human nontyphoidal salmonellosis, frequently associated with the consumption of contaminated poultry products. Recently, multidrug-resistant (MDR) S. Kentucky ST198 with strong resistance to cefotaxime, ciprofloxacin, and tigecycline has emerged and been frequently detected in both poultry and humans in Europe and Asia. In this study, whole-genome sequencing (WGS) analysis divided 327 S. Kentucky ST198 isolates into two clades, of which ST198.2 is more prevalent than ST198.1 worldwide. We further compared the genomic characteristics of 70 ST198 isolates from animals and humans during 2019-2022 plus previously reported 38 isolates from 2013 to 2019 in China. One hundred five of the 108 isolates were ST198.2, which could be differentiated into two subclades. ST198.2-1 was prevalent in isolates during 2013-2019, while ST198.2-2 has increased to be the predominant subclade in isolates since 2019. CRISPR typing can differentiate the clade ST198.1 isolates from clade ST198.2 ones but cannot differentiate the two subclade isolates. The acquisition of a large multi-drug resistant region in ST198.2-2 enhanced bacterial resistance to ß-lactam, aminoglycoside, amphenicol, and fosfomycin. In addition, compared with the extended-spectrum ß-lactamase (ESBL)-encoding gene blaCTX-M-14b in ST198.2-1, co-existence of blaCTX-M-55 and blaTEM-1B was detected in most of the ST198.2-2 isolates. The emergence of ciprofloxacin- and tigecycline-resistant ESBL-producing S. Kentucky ST198.2-2 strains highlight the necessity for Salmonella surveillance. It is imperative to implement more effective measures to prevent and control transmission of these strains from poultry to humans. IMPORTANCE Salmonella enterica serovar Kentucky (S. Kentucky) can cause human infections through consumption of contaminated food of animal origin, and the emergence of multidrug-resistant (MDR) ST198-S. Kentucky strains are of concern for human and animal health. Based on whole-genome sequencing (WGS) analysis, this study revealed that the clade ST198.2-2 S. Kentucky has increased to the predominant group in both chickens and humans in China since 2019, which is different to previous studies of the prevalent ST198.2-1 S. Kentucky before 2019. Acquirement of a multidrug resistance region (MRR) makes the ST198.2-2 S. Kentucky to be extensively drug-resistant (XDR) isolate compared with ST198.2-1 S. Kentucky. Besides, the ST198.2-2 S. Kentucky was mainly detected in chickens (chicken meat, intestinal contents, and slaughterhouse) and humans, indicating chicken is the main reservoir for these XDR S. Kentucky isolates. Therefore, it is necessary to implement continuous Salmonella surveillance and effective measures, such as the development of phages and novel antibiotics/compounds, to prevent the transmission of XDR ST198.2-2 S. Kentucky from chickens to humans across China.