A low total metabolic tumor volume independently predicts for a longer time to first treatment in initially observed, low tumor burden follicular lymphoma.

Watchful waiting is an acceptable management strategy for advanced-stage, low tumor burden (LTB) patients with follicular lymphoma (FL). However, the prediction of how long this treatment-free observation period will last remains imperfect. We explored whether total metabolic tumor volume (TMTV) and other positron emission tomography parameters were predictive of time to first treatment (TTFT). We analyzed 97 grade 1-3A advanced-stage LTB FL patients and found that a high TMTV was associated with other tumor burden features at diagnosis. Patients with a TMTV above our established cutoff of 50 mL had a significantly shorter median duration of observation (2.6 vs. 8.8 years; p = 0.001). At 5 years, 77% of patients with a high TMTV and 46% of patients with a low TMTV required treatment. In the multivariable analysis, a high TMTV was the only independent factor predicting TTFT (hazard ratio = 2.09; p = 0.017). Overall, TMTV is a strong predictor of the duration of observation in LTB FL patients. Upon validation of our cutoff in external series and standardization of the methodology, the TMTV could become an additional factor to consider deferring or initiating treatment in otherwise LTB patients.

Gender differences in prevalence and associated factors of metabolic syndrome in first-treatment and drug-naïve schizophrenia patients.

BACKGROUND: Metabolic syndromes (MetS) are clinical syndromes involving multiple pathological states with distinct gender-specific clinical patterns. As a serious disorder associated with psychiatric conditions, the prevalence of MetS is significantly higher in the population with schizophrenia (Sch). The aim of this paper is to report gender differences in the prevalence, associated factors and severity-related factors of MetS in first-treatment and drug-naïve (FTDN) patients with Sch. METHODS: A total of 668 patients with FTDN Sch were included in this study. We collected socio-demographic and general clinical information on the target population, measured and evaluated common metabolic parameters and routine biochemical indicators, and assessed the severity of psychiatric symptoms using Positive and Negative Symptom Scale (PANSS). RESULTS: In the target group, the prevalence of MetS was significantly higher in women (13.44%, 57/424) than in men (6.56%, 16/244). In the males, waist circumference (WC), fasting blood glucose (FBG), diastolic blood pressure (DBP), and triglycerides (TG) were risk factors for MetS, while systolic blood pressure (SBP), TG, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and platelet (PLT) were risk factors for the females. More importantly, for the females, we found that age, LDL-C, PANSS scores and blood creatinine (CRE) were risk factors for higher MetS scores, while onset age and hemoglobin (HGB) were protective factors. CONCLUSION: There are significant gender differences in the prevalence of MetS and its factors among patients with FTDN Sch. The prevalence of MetS is higher and the factors that influence MetS are more numerous and extensive in females. The mechanisms of this difference need further research and clinical intervention strategies should be formulated with gender differences.

Relationship between efficacy and common metabolic parameters in first-treatment drug-naïve patients with early non-response schizophrenia: a retrospective study.

BACKGROUND: Comorbid metabolic disorders in patients with schizophrenia are very common. Patients with schizophrenia who respond to therapy early are often strongly predictive of better treatment outcomes. However, the differences in short-term metabolic markers between early responders and early non-responders in schizophrenia are unclear. METHODS: 143 first-treatment drug-naïve schizophrenia patients were included in this study and were given a single antipsychotic medication for 6 weeks after admission. After 2 weeks, the sample was divided into an early response group and an early non-response group based on psychopathological changes. For the study endpoints, we depicted the change curves of psychopathology in both subgroups and compared the differences between the two groups in terms of remission rates and multiple metabolic parameters. RESULTS: The early non-response had 73 cases (51.05%) in the 2nd week. In the 6th week, the remission rate was significantly higher in the early response group than in the early non-response group (30,42.86% vs. 8,10.96%); the body weight, body mass index, blood creatinine, blood uric acid, total cholesterol, triglyceride, low-density lipoprotein, fasting blood glucose, and prolactin of the enrolled samples were significantly increased, and high-density lipoprotein was significantly decreased. ANOVAs revealed a significant effect of treatment time on abdominal circumference, blood uric acid, total cholesterol, triglyceride, high-density lipoprotein, low-density lipoprotein, fasting blood glucose and prolactin, and a significant negative effect of early non-response to treatment on abdominal circumference, blood creatinine, triglyceride, fasting blood glucose. CONCLUSIONS: Schizophrenia patients with early non-response had lower rates of short-term remission and more extensive and severe abnormal metabolic indicators. In clinical practice, patients with early non-response should be given a targeted management strategy, antipsychotic drugs should be switched on time, and active and effective interventions for their metabolic disorders should be given.

Serum soluble CD23 levels are an independent predictor of time to first treatment in chronic lymphocytic leukemia.

Serum soluble CD23 (sCD23) levels have been acknowledged as a prognostic factor in patients with chronic lymphocytic leukemia (CLL), but their potential relevance has not been analyzed in recent times. We retrospectively studied 338 CLL, small lymphocytic lymphoma, or CLL-type monoclonal B-cell lymphocytosis patients from a single institution, with available sCD23 levels at diagnosis. Baseline features and outcomes were compared between patients with sCD23 ≤/>1000 UI/L. The 140 patients (41%) who had sCD23 > 1000 UI/L showed adverse-risk clinical and biological characteristics. High sCD23 levels were predictive of a shorter time to first treatment (5-year probability of requiring treatment: 60 vs. 20%, p < 0.0001; hazard ratio (HR) = 1.72, p = 0.003 in a multivariable model also including the CLL International Prognostic Index and the absolute lymphocyte count), and a poorer 5-year overall survival (70 vs. 82%, p = 0.0009). These data suggest the potential of sCD23 to predict treatment-free survival and to shed light on mechanisms of activity and resistance to CD23-directed therapies.

Extracellular vesicles and their associated miRNAs as potential prognostic biomarkers in chronic lymphocytic leukemia.

PURPOSE OF REVIEW: Many prognostic and predictive biomarkers have been proposed for chronic lymphocytic leukaemia (CLL). Here, we aim to discuss the evidence showing a prognostic potential for extracellular vesicles (EV) and their associated microRNAs (miRNAs). RECENT FINDINGS: EV are produced by several cells in the body as a physiological event; however, there is evidence suggesting that an elevated EV concentration is present in the circulation of CLL patients. Moreover, some studies have associated EV concentration with advanced Rai stage and unmutated CLL while others have demonstrated its potential as an independent prognostic factor for TTFT and OS. Finally, some studies have shown that CLL EV shared some dysregulated microRNAs with CLL cells and plasma. On the other hand, it was found that CLL EV has a distinctive microRNA expression profile. Until now, EV-associated miR-155 is the most studied miRNA. Despite methodological diversity and limitations in study design, unanimity in CLL EV concentration behaviour and miRNA content has been found.

Role of cytogenetic abnormalities detected by fluorescence in situ hybridization as a prognostic marker: Pathogenesis & clinical course in patients with B-chronic lymphocytic leukaemia.

BACKGROUND & OBJECTIVES: B-cell chronic lymphocytic leukaemia (B-CLL) is one of the most common forms of adult leukaemia, with a highly variable clinical course. Specific chromosomal and genetic aberrations are used clinically to predict prognosis, independent from conventional clinical markers. Molecular cytogenetic methods such as fluorescence in situ hybridization (FISH) detect aberrations in up to 80 per cent B-CLL patients. This study was conducted to score the frequencies of recurrent aberrations, i.e., del(13q14), trisomy 12, del(11q22), del(17p13), del(6q21) and IgH (immunoglobulin heavy chain) translocations and to understand their role in prognostication and risk stratification. METHODS: FISH studies were performed on bone marrow aspirate or peripheral blood of 280 patients using commercially available disease-specific probe set. The data were correlated with clinical and haematological parameters such as low haemoglobin, splenomegaly and lymphadenopathy. RESULTS: Chromosomal aberrations were detected in 79 per cent of patients, with del(13q14) (57%) as the most common cytogenetic aberration, followed by trisomy 12 (27%), del(11q22) (22%), t(14q32) (19%), del(17p13) (18%) and del(6q21) (9%). Single or in coexistence with other aberration del(13q14) had a favourable outcome in comparison to del(11q22), t(14q32), del(17p13) and del(6q21) which were associated with advanced stages of the disease. Trisomy 12 had a variable clinical course. INTERPRETATION & CONCLUSIONS: FISH was found to be a sensitive and efficient technique in detecting the prevalence of recurrent cytogenetic abnormalities. Each of these aberrations is an important independent predictor of disease progression and survival which aids in designing risk-adapted treatment strategies for better disease management.

Comparative assessment of prognostic models in chronic lymphocytic leukemia: evaluation in Indian cohort.

Prognostic indices combining several clinical and laboratory parameters have been proposed for prognostication in chronic lymphocytic leukemia (CLL). Recently, international consortium on CLL proposed an international prognostic index (CLL-IPI) integrating clinical, molecular, and genetic parameters. The present study was designed to evaluate the reproducibility of CLL-IPI in Indian CLL cohort. The prognostic ability of CLL-IPI in terms of overall survival (OS) and time to first treatment (TTFT) was investigated in treatment-naive CLL patients and also compared with other existing prognostic scores. For assigning scores, clinical and laboratory details were obtained from medical records, and IGHV gene mutation status, ß2-microglobulin levels, and copy number variations were determined using c-DNA, ELISA, and multiplex ligation-dependent probe amplification (MLPA), respectively. The scores were generated as per the weighted grades assigned to each variable involved in score categorization. The predictive value of prognostic models was assessed and compared using Harrell's C-index and Akaike's information criterion (AIC). Stratification of patients according to CLL-IPI yielded significant differences in terms of OS and TTFT (p < 0.001). Comparative assessment of scores for OS suggested better performance of CLL-IPI (C = 0.64, AIC = 740) followed by Barcelona-Brno (C = 0.61, AIC = 754) and MDACC score (C = 0.59, AIC = 759). Comparison of predictive value of prognostic scores for TTFT illustrated better performance of CLL-IPI (C = 0.72, AIC = 726) followed by Barcelona-Brno (C = 0.68, AIC = 743), modified GCLLSG (C = 0.66, AIC = 744), and O-CLL1 index (C = 0.55, AIC = 773). The results suggest better performance of CLL-IPI in terms of both OS and TTFT as compared to other available scores in our cohort.

In chronic lymphocytic leukaemia with complex karyotype, major structural abnormalities identify a subset of patients with inferior outcome and distinct biological characteristics.

Complex karyotype (CK) is a negative prognostic factor in chronic lymphocytic leukaemia (CLL). However, CK is a heterogeneous cytogenetic category. Unbalanced rearrangements were present in 73·3% of 90 CLL patients with CK (i.e. ≥3 chromosome aberrations in the same clone), and were associated with a shorter overall survival (P = 0·025) and a shorter time to first treatment (P = 0·043) by multivariate analysis. Patients with unbalanced rearrangements presented a distinct mRNA expression profile. In conclusion, CLL patients with unbalanced rearrangements might represent a subset of very high-risk CLL patients with distinct clinical and biological characteristics.

History of psychosis and previous episodes as potential explanatory factors for neurocognitive impairment in first-treatment bipolar I disorder.

OBJECTIVES: Explanatory factors for the observed neurocognitive impairment in early-stage bipolar I disorder (BD-I) have received little attention. The current study investigated neurocognitive functioning in first-treatment (FT) BD-I compared to FT schizophrenia (SCZ), and healthy controls (HCs), and the effect of history of psychosis and previous episodes in the two clinical groups. METHODS: A total of 202 FT patients with BD-I (n = 101) and SCZ spectrum disorder (n = 101), in addition to HCs (n = 101), were included. A comprehensive neurocognitive test battery was used to assess verbal learning and memory, executive functioning, processing speed, and attention and working memory. Neurocognitive functioning and the effect of history of psychosis and number of previous episodes were analyzed using separate multivariate analyses of variance and correlation analysis. RESULTS: FT patients with BD-I performed intermediately between FT SCZ spectrum patients and HCs on all measures. Compared to HCs, FT BD-I showed impaired functioning across all neurocognitive domains. No differences in neurocognitive functioning were observed in psychotic versus nonpsychotic FT patients with BD-I. With the exception of an association between number of manic episodes and two measures of executive function in FT BD-I, no associations were found between number of episodes and neurocognitive performance. CONCLUSIONS: Neurocognitive impairments were present in FT BD-I, and were not explained by history of psychosis or number of previous psychotic or depressive episodes. There were indications that executive function could be associated with number of previous manic episodes.

Prevalence of metabolic syndrome and its associated factors in first-treatment drug-naïve schizophrenia patients: A large-scale cross-sectional study.

BACKGROUND: Metabolic syndrome (MetS), a condition that includes several risk factors specific for cardiovascular disease, is commonly detected among patients with schizophrenia (SCZ). This study elucidated the factors contributing to the development and severity of MetS in first-treatment drug-naïve (FTDN) patients with SCZ. METHODS: The study enrolled 668 individuals with FTDN SCZ, aged 18-49 years, who had no exposure to antipsychotic medications and been hospitalized between February 2017 and June 2022 at the largest psychiatric specialty institution in central China. Patient sociodemographic and general clinical data were collected, and their psychopathology scores and illness severity were assessed using the Positive and Negative Symptom Scale (PANSS) and Clinical Global Impression Scale-Severity of Illness (CGI-SI), respectively. MetS score was calculated to determine the disease severity. RESULTS: The prevalence of MetS among this study population was 10.93%. Binary logistic regression analysis revealed onset age, female sex, total cholesterol, and red blood and white blood cell counts as risk factors for MetS, and deemed free tetraiodothyronine (FT4) and CGI-SI score as protective factors. Multiple linear regression analysis result confirmed older SCZ onset age as a risk factor for elevated MetS score. CONCLUSION: This study determined the prevalence of MetS in patients with FTDN SCZ and revealed the factors that influence the occurrence and severity of the disease. These findings will allow development of specific prevention and treatment strategies in clinical practice.

Reduced prognostic value of beta-2-microglobulin for time to first treatment in CLL patients with compromised kidney function.

Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults and characterized by a highly heterogeneous clinical course. The CLL-IPI and the OCLL-1 scores are among the best validated tools to predict time-to-first-treatment. In both models, elevated beta-2-microglobulin plasma level (B2M) is an independent prognostic factor. Yet, B2M is commonly increased in patients with chronic kidney disease (CKD) per se and both models were not adjusted for CKD. We analyzed the clinical outcomes of 297 treatment-naive CLL patients between 2000 and 2022. B2M was more frequently elevated in CKD patients and lost prognostic significance at the threshold > 2.5 mg/L. Both CLL-IPI and OCLL-1 failed to facilitate prognostic segregation in CKD patients. 22.2% of CKD patients were assigned to a higher CLL-IPI risk group due to elevated B2M. Our results suggest that both models overestimate the risk for disease progression and need to be interpreted with caution in CKD patients.

B cell receptor signaling proteins as biomarkers for progression of CLL requiring first-line therapy.

The molecular landscape of chronic lymphocytic leukemia (CLL) has been extensively characterized, and various potent prognostic biomarkers were discovered. The genetic composition of the B-cell receptor (BCR) immunoglobulin (IG) was shown to be especially powerful for discerning indolent from aggressive disease at diagnosis. Classification based on the IG heavy chain variable gene (IGHV) somatic hypermutation status is routinely applied. Additionally, BCR IGH stereotypy has been implicated to improve risk stratification, through characterization of subsets with consistent clinical profiles. Despite these advances, it remains challenging to predict when CLL progresses to requiring first-line therapy, thus emphasizing the need for further refinement of prognostic indicators. Signaling pathways downstream of the BCR are essential in CLL pathogenesis, and dysregulated components within these pathways impact disease progression. Considering not only genomics but the entirety of factors shaping BCR signaling activity, this review offers insights in the disease for better prognostic assessment of CLL.

Unmutated IGHV at diagnosis in patients with early stage CLL independently predicts for shorter follow-up time to first treatment (TTFT).

The mutational status of the IGHV gene is routinely assessed in patients with chronic lymphocytic leukaemia (CLL), since it is both prognostic of clinical outcome and predictive of response to treatment. This study evaluates the IGHV mutational status, assessed in newly diagnosed CLL patients, as a stand-alone predictor of time to first treatment (TTFT). We analysed the data of 236 CLL patients, diagnosed at our centre between January 2004 and September 2020, with a minimum follow-up period of 3.0 years, Binet A-B and Rai 0-II stages. IGHV was unmutated in 38.1 % and mutated in 61.9 % of cases. The univariate analysis showed a statistically significant difference (p < 0.001) in TTFT based on unmutated (85.2 % at 14 years, 95 % CI = 63.3-94.5 %) or mutated (41.3 % at 14 years, 95 % CI = 29.5-51.8 %) and the need for treatment at 1, 3 and 5 years was of 20.0 % vs 4.1 % (p < 0.001), 42.7 % vs 11.4 % (p < 0.001) and 55.8 % vs 20.0 % (p < 0.001) in unmutated and mutated IGHV patients, respectively. Multivariate analysis confirmed that unmutated IGHV status negatively affects TTFT (p < 0.001), in addition to high-risk genomic aberration (p = 0.025), Rai stage I (p = 0.007) and II (p-value < 0.001). The difference in TTFT based on unmutated or mutated IGHV status remains statistically significant also when considering the subgroups by the genomic aberrations and Rai stages. Our findings suggest that, with the single analysis of the IGHV mutational status at CLL diagnosis, along with clinical and laboratory data, and without karyotype and TP53 data, clinicians will have prognostic and predictive indications for the first clinical treatment and appropriate follow-up of patients.

Association of Cytogenetics Aberrations and IGHV Mutations with Outcome in Chronic Lymphocytic Leukemia Patients in a Real-World Clinical Setting.

Immunoglobulin heavy chain variable ( IGHV ) region mutations, TP53 mutation, fluorescence in situ hybridization (FISH), and cytogenetic analysis are the most important prognostic biomarkers used in chronic lymphocytic leukemia (CLL) patients in our daily practice. In real-life environment, there are scarce studies that analyze the correlation of these factors with outcome, mainly referred to time to first treatment (TTFT) and overall survival (OS). This study aimed to typify IGHV mutation status, family usage, FISH aberrations, and complex karyotype (CK) and to analyze the prognostic impact in TTFT and OS in retrospective study of 375 CLL patients from a Spanish cohort. We found unmutated CLL (U-CLL) was associated with more aggressive disease, shorter TTFT (48 vs. 133 months, p < 0.0001), and shorter OS (112 vs. 246 months, p < 0.0001) than the mutated CLL. IGHV3 was the most frequently used IGHV family (46%), followed by IGHV1 (30%) and IGHV4 (16%). IGHV5-51 and IGHV1-69 subfamilies were associated with poor prognosis, while IGHV4 and IGHV2 showed the best outcomes. The prevalence of CK was 15% and was significantly associated with U-CLL. In the multivariable analysis, IGHV2 gene usage and del13q were associated with longer TTFT, while VH1-02, +12, del11q, del17p, and U-CLL with shorter TTFT. Moreover, VH1-69 usage, del11q, del17p, and U-CLL were significantly associated with shorter OS. A comprehensive analysis of genetic prognostic factors provides a more precise information on the outcome of CLL patients. In addition to FISH cytogenetic aberrations, IGHV and TP53 mutations, IGHV gene families, and CK information could help clinicians in the decision-making process.

MicroRNA Profiling as a Predictive Indicator for Time to First Treatment in Chronic Lymphocytic Leukemia: Insights from the O-CLL1 Prospective Study.

A "watch and wait" strategy, delaying treatment until active disease manifests, is adopted for most CLL cases; however, prognostic models incorporating biomarkers have shown to be useful to predict treatment requirement. In our prospective O-CLL1 study including 224 patients, we investigated the predictive role of 513 microRNAs (miRNAs) on time to first treatment (TTFT). In the context of this study, six well-established variables (i.e., Rai stage, beta-2-microglobulin levels, IGVH mutational status, del11q, del17p, and NOTCH1 mutations) maintained significant associations with TTFT in a basic multivariable model, collectively yielding a Harrell's C-index of 75% and explaining 45.4% of the variance in the prediction of TTFT. Concerning miRNAs, 73 out of 513 were significantly associated with TTFT in a univariable model; of these, 16 retained an independent relationship with the outcome in a multivariable analysis. For 8 of these (i.e., miR-582-3p, miR-33a-3p, miR-516a-5p, miR-99a-5p, and miR-296-3p, miR-502-5p, miR-625-5p, and miR-29c-3p), a lower expression correlated with a shorter TTFT, whereas in the remaining eight (i.e., miR-150-5p, miR-148a-3p, miR-28-5p, miR-144-5p, miR-671-5p, miR-1-3p, miR-193a-3p, and miR-124-3p), the higher expression was associated with shorter TTFT. Integrating these miRNAs into the basic model significantly enhanced predictive accuracy, raising the Harrell's C-index to 81.1% and the explained variation in TTFT to 63.3%. Moreover, the inclusion of the miRNA scores enhanced the integrated discrimination improvement (IDI) and the net reclassification index (NRI), underscoring the potential of miRNAs to refine CLL prognostic models and providing insights for clinical decision-making. In silico analyses on the differently expressed miRNAs revealed their potential regulatory functions of several pathways, including those involved in the therapeutic responses. To add a biological context to the clinical evidence, an miRNA-mRNA correlation analysis revealed at least one significant negative correlation between 15 of the identified miRNAs and a set of 50 artificial intelligence (AI)-selected genes, previously identified by us as relevant for TTFT prediction in the same cohort of CLL patients. In conclusion, the identification of specific miRNAs as predictors of TTFT holds promise for enhancing risk stratification in CLL to predict therapeutic needs. However, further validation studies and in-depth functional analyses are required to confirm the robustness of these observations and to facilitate their translation into meaningful clinical utility.

Incidence and factors associated of early non-response in first-treatment and drug-naïve patients with schizophrenia: a real-world study.

Background: Schizophrenia is a severe and persistent mental condition that causes disability. For subsequent clinical care, it is extremely practical to effectively differentiate between patients who respond to therapy quickly and those who do not. This study set out to document the prevalence and risk factors for patient early non-response. Methods: The current study included 143 individuals with first-treatment and drug-naïve (FTDN) schizophrenia. Patients were classified as early non-responders based on a Positive and Negative Symptom Scale (PANSS) score reduction of less than 20% after 2 weeks of treatment, otherwise as early responders. Clinical subgroups' differences in demographic data and general clinical data were compared, and variables related to early non-response to therapy were examined. Results: Two weeks later, a total of 73 patients were described as early non-responders, with an incidence of 51.05%. The early non-response subgroup had significantly higher PANSS scores, Positive symptom subscale (PSS) scores, General psychopathology subscale (GPS) scores, Clinical global impression scale - severity of illness (CGI-SI) and Fasting blood glucose (FBG) levels compared to the early-response subgroup. CGI-SI and FBG were risk factors for early non-response. Conclusion: High rates of early non-response have been seen in FTDN schizophrenia patients, and risk variables for predicting early non-response include CGI-SI scores and FBG levels. However, we need more in-depth studies to confirm the generalizable range of these two parameters.

Understanding components and predictors of delay of first treatment for mental health problems: A hospital-based study in China.

BACKGROUND: Understanding components and predictors of delay of first treatment for mental health problems are crucial to inform interventions for earlier treatment. However, Chinese-context knowledge of this theme is still limited. METHODS: We conducted an inpatient survey among 206 patients with various mental disorders in China. Delay of first utilization of mental healthcare (Delay-Total) and its two components of help-seeking delay (Delay-H) and referral delay (Delay-R) were assessed in terms of occurrence and duration. Binary logistic regression was performed to test predictors of Delay-Total, Delay-H and Delay-R, and multiple linear regression was used to test predictors of delay durations. RESULTS: Overall, 66.0% patients experienced Delay-Total, with a duration range of 0 to 353 months; 49.5% patients had Delay-H (duration range = 0-207 months) and 29.6% with Delay-R (duration range = 0-323 months). Multivariate logistic regression analysis found that the diagnosis of severe mental disorders was a consistent predictor for a reduced chance of Delay-Total, Delay-H and Delay-R. Multiple linear regression analysis demonstrated that younger age of disorder onset and disorder onset before 2016 were significantly associated with longer delay. CONCLUSIONS: Delay of first treatment for mental health problems is still common in China. However, the development of mental health policy and services promotes shorter treatment delay. The diagnosis of common mental disorders and younger age of onset are risk factors of the occurrence and duration of delay, respectively. Thus, education of the public and non-mental-healthcare professionals are needed for better disorder recognition and more efforts should be inputted to support youngsters' utilization of mental healthcare.

Nasopharyngeal Bacterial Prevalence and Microbial Diversity at First Treatment for Bovine Respiratory Disease (BRD) and Its Associations with Health and Mortality Outcomes in Feedyard Cattle.

Bovine respiratory disease (BRD) is an economically important disease in feedyards influencing both animal welfare and antimicrobial utilization. Major pathogens associated with BRD have been identified in previous research, but little information is available on the relationship between nasopharyngeal microbiota and health outcomes. The objective of this study was to identify potential associations between nasopharyngeal microbiota and antimicrobial resistance patterns of clinical cases that lived or died compared to non-diseased controls. Enrolled animals were subdivided based on clinical disease status and case outcome (subsequent mortality). Deep nasopharyngeal swabs were collected on enrolled animals and submitted for bacterial isolation, antimicrobial susceptibility determination, and metagenomics analysis. Enrolled cattle were represented in three groups: animals at first treatment for BRD that subsequently died (BRDM, n = 9), animals at first treatment for BRD that subsequently lived (BRDL, n = 15), and animals that were never treated for BRD during the feeding phase (CONT, n = 11). Antimicrobial resistance patterns for Pasteurella multocida illustrated cattle in each outcome category had isolates that were pan-susceptible or only showed resistance to oxytetracycline. The relative abundance of species and genera illustrated few differences among the three outcomes. Higher alpha diversity was identified in BRDL compared to CONT at the species level, and both BRDL and BRDM showed increased alpha diversity compared to CONT at the general level. Overall, this work illustrated nasopharyngeal microbiota showed relatively few differences among BRD cases that lived or died compared to animals without BRD.

Evaluation of First Treatment Timing, Fatal Disease Onset, and Days from First Treatment to Death Associated with Bovine Respiratory Disease in Feedlot Cattle.

Bovine respiratory disease (BRD) is a frequent beef cattle syndrome. Improved understanding of the timing of BRD events, including subsequent deleterious outcomes, promotes efficient resource allocation. This study's objective was to determine differences in timing distributions of initial BRD treatments (Tx1), days to death after initial treatment (DTD), and days after arrival to fatal disease onset (FDO). Individual animal records for the first BRD treatment (n = 301,721) or BRD mortality (n = 19,332) were received from 25 feed yards. A subset of data (318-363 kg; steers/heifers) was created and Wasserstein distances were used to compare temporal distributions of Tx1, FDO, and DTD across genders (steers/heifers) and the quarter of arrival. Disease frequency varied by quarter with the greatest Wasserstein distances observed between Q2 and Q3 and between Q2 and Q4. Cattle arriving in Q3 and Q4 had earlier Tx1 events than in Q2. Evaluating FDO and DTD revealed the greatest Wasserstein distance between cattle arriving in Q2 and Q4, with cattle arriving in Q2 having later events. Distributions of FDO varied by gender and quarter and typically had wide distributions with the largest 25-75% quartiles ranging from 20 to 80 days (heifers arriving in Q2). The DTD had right-skewed distributions with 25% of cases occurring by days 3-4 post-treatment. Results illustrate temporal disease and outcome patterns are largely right-skewed and may not be well represented by simple arithmetic means. Knowledge of typical temporal patterns allows cattle health managers to focus disease control efforts on the correct groups of cattle at the appropriate time.

Acral cutaneous malignant melanoma treated with linear accelerator-based boron neutron capture therapy system: a case report of first patient.

This study reports the first patient treatment for cutaneous malignant melanoma using a linear accelerator-based boron neutron capture therapy (BNCT) system. A single-center open-label phase I clinical trial had been conducted using the system since November 2019. A patient with a localized node-negative acral malignant melanoma and the largest diameter of the tumor ≤ 15 cm who refused primary surgery and chemotherapy was enrolled. After administering boronophenylalanine (BPA), a single treatment of BNCT with the maximum dose of 18 Gy-Eq delivered to the skin was performed. The safety and efficacy of the accelerator-based BNCT system for treating localized cutaneous malignant melanoma were evaluated. The first patient with cutaneous malignant melanoma in situ on the second finger of the left hand did not develop dose-limiting toxicity in the clinical trial. After BNCT, the treatment efficacy was gradually observed, and the patient achieved PR within 6 months and CR within 12 months. Moreover, during the follow-up period of 12 months after BNCT, the patient did not exhibit a recurrence without any treatment-related grade 2 or higher adverse events. Although grade 1 adverse events of dermatitis, dry skin, skin hyperpigmentation, edema, nausea, and aching pain were noted in the patient, those adverse events were relieved without any treatment. This case report shows that the accelerator-based BNCT may become a promising treatment modality for cutaneous malignant melanoma. We expect further clinical trials to reveal the efficacy and safety of the accelerator-based BNCT for cutaneous malignant melanoma.