Two-Loop O(αsGFmt2){\cal O}(\alpha_sG_Fm_t^2) Corrections to the Fermionic Decay Rates of the Standard-Model Higgs Boson

Low- and intermediate mass Higgs bosons decay preferably into fermion pairs. The one-loop electroweak corrections to the respective decay rates are dominated by a flavour-independent term of ${\cal O}(G_Fm_t^2)$. We calculate the two-loop gluon correction to this term. It turns out that this correction screens the leading high-$m_t$ behaviour of the one-loop result by roughly 10\%. We also present the two-loop QCD correction to the contribution induced by a pair of fourth-generation quarks with arbitrary masses. As expected, the inclusion of the QCD correction considerably reduces the renormalization-scheme dependence of the prediction.Comment: 14 pages, latex, figures 2-5 appended, DESY 94-08

SARS-CoV-2 infects the human kidney and drives fibrosis in kidney organoids

Kidney failure is frequently observed during and after COVID-19, but it remains elusive whether this is a direct effect of the virus. Here, we report that SARS-CoV-2 directly infects kidney cells and is associated with increased tubule-interstitial kidney fibrosis in patient autopsy samples. To study direct effects of the virus on the kidney independent of systemic effects of COVID-19, we infected human-induced pluripotent stem-cell-derived kidney organoids with SARS-CoV-2. Single-cell RNA sequencing indicated injury and dedifferentiation of infected cells with activation of profibrotic signaling pathways. Importantly, SARS-CoV-2 infection also led to increased collagen 1 protein expression in organoids. A SARS-CoV-2 protease inhibitor was able to ameliorate the infection of kidney cells by SARS-CoV-2. Our results suggest that SARS-CoV-2 can directly infect kidney cells and induce cell injury with subsequent fibrosis. These data could explain both acute kidney injury in COVID-19 patients and the development of chronic kidney disease in long COVID

Sexual behavior of adolescents with chronic disease and disability.

PURPOSE: This study aimed to assess sexual behaviors, sexual orientation, pregnancy, and abuse history among adolescents with and without chronic conditions. METHODS: Analyses were based on a statewide survey of 36,284 young people in the 7th through 12th grades for analytic purposes; subsets were defined using a specialized cohort design including adolescents with visible and nonvisible conditions plus controls. Principle outcome measures included self report of ever having sexual intercourse, age of sexual debut, reasons for not having intercourse, ever causing or having a pregnancy, ever having a sexually transmitted disease (STD), contraceptive use and reasons for their nonuse, history of sexual abuse, and sexual orientation. RESULTS: No differences were evident between adolescents with and without chronic conditions in the proportion ever having intercourse, age of sexual debut, pregnancy involvement, patterns of contraceptive use, or sexual orientation. No differences were evident among girls or boys with visible compared with invisible conditions. A significantly greater proportion of girls and boys with invisible conditions than controls reported a history of sexual abuse. More index boys than controls reported ever having an STD, whereas more girls with visible conditions than controls reported this. CONCLUSIONS: Adolescents with chronic conditions are at least as sexually involved as their peers, and significantly more likely to have been sexually abused. Visibility of chronic conditions does not appear to affect the sexual behaviors of adolescents. The need for comprehensive sexuality education in this population is high, and discussion of sexuality, contraception and abuse must be part of standard psychosocial assessment and anticipatory guidance for all teenagers, including those with chronic conditions

Protective correlates of stages in adolescent substance use: a Swiss National Study.

OBJECTIVE: To identify factors potentially protective against involvement with additional illicit drugs among adolescent users of marijuana. DESIGN AND METHODS: A cross-sectional, secondary analysis of a national data set of Swiss adolescents was performed. The original survey was conducted in 1992-1993 (N= 9268). Stages of substance use were conceptualized as lifetime use of marijuana of three or more times and as use of marijuana and other illicit drugs (opiates, inhalants, cocaine, hallucinogens, or stimulants) more than twice in the past month. Behavioral characteristics associated with level of drug use were examined. Based on the resilience literature, factors potentially protective against progression of drug use were examined in their bivariate relationships and analyzed in a multiple regression model. RESULTS: Almost one quarter of the surveyed adolescents were classified as past or current marijuana users. One in 20 of these adolescents also used other illicit drugs. Prevalence of risk-related behaviors (e.g., antisocial behavior, accidents, suicide attempts) was elevated for marijuana users compared to nonusers and even more elevated for users of marijuana with other illicit drugs. In a multivariate logistic regression model, communicating well with a parent was significantly associated with not having progressed to use of illicit drugs other than marijuana [for males, odds ratio (OR) = 0.72, confidence interval (CI) = 0.55, 0.92; for females, OR = 0.60, CI = 0.39, 0.93]. Other significant protective correlates for boys were academic achievement (OR = 0.66, CI = 0.47, 0.92), type of education: school versus apprenticeship (OR = 0.42, CI = 0.21, 0.87), confiding in a family member (OR = 0.49, CI = 0.28, 0.85), and regular participation in a sports club (OR = 0.39, CI = 0.22, 0.77). CONCLUSION: Within this national sample of Swiss adolescents, a cross-sectional analysis identified the quality of relationships within the family and factors related to school associated with lack of progression of illicit substance use. However, longitudinal studies will be necessary to confirm these associations and to allow for designing interventions targeting the enhancement of protective factors among young people already at risk for serious substance use

A novel computer based expert decision making model for prostate cancer disease management

PubMedID: 16280831Purpose: We propose a strategic, computer based, prostate cancer decision making model based on the analytic hierarchy process. We developed a model that improves physician-patient joint decision making and enhances the treatment selection process by making this critical decision rational and evidence based. Materials and Methods: Two groups (patient and physician-expert) completed a clinical study comparing an initial disease management choice with the highest ranked option generated by the computer model. Participants made pairwise comparisons to derive priorities for the objectives and subobjectives related to the disease management decision. The weighted comparisons were then applied to treatment options to yield prioritized rank lists that reflect the likelihood that a given alternative will achieve the participant treatment goal. Aggregate data were evaluated by inconsistency ratio analysis and sensitivity analysis, which assessed the influence of individual objectives and subobjectives on the final rank list of treatment options. Results: Inconsistency ratios less than 0.05 were reliably generated, indicating that judgments made within the model were mathematically rational. The aggregate prioritized list of treatment options was tabulated for the patient and physician groups with similar outcomes for the 2 groups. Analysis of the major defining objectives in the treatment selection decision demonstrated the same rank order for the patient and physician groups with cure, survival and quality of life being more important than controlling cancer, preventing major complications of treatment, preventing blood transfusion complications and limiting treatment cost. Analysis of sub-objectives, including quality of life and sexual dysfunction, produced similar priority rankings for the patient and physician groups. Concordance between initial treatment choice and the highest weighted model option differed between the groups with the patient group having 59% concordance and the physician group having only 42% concordance. Conclusions: This study successfully validated the usefulness of a computer based prostate cancer management decision making model to produce individualized, rational, clinically appropriate disease management decisions without physician bias. Copyright © 2005 by American Urological Association

Interleukin-1 stimulates ovarian prostaglandin biosynthesis: Evidence for heterologous contact-independent cell-cell interaction

An increasing body of information now suggests the existence of complete intraovarian IL-1 system replete with ligands, receptor, and receptor antagonist. Since IL-1 is an established mediator of inflammation and since ovulation may constitute an inflammatory-like reaction, consideration may be given to the possibility that IL-1 may play an intermediary role in the ovulatory process. To further assess the above hypothesis, we have set out to determine whether IL-1 is capable of promoting ovarian prostaglandin biosynthesis, an established component of the ovulatory cascade. Cultured whole ovarian dispersates from immature (25 day old) rats constitutively elaborated major prostaglandin species (PGE2 > PGF2-alpha) in a cell density-dependent fashion. Treatment with IL-1 produced dose-dependent increments in prostaglandin (PGE2 > PGF2-alpha) accumulation as compared with untreated controls. Comparable cellular densities of untreated or IL-1-beta-treated whole ovarian dispersates elaborated substantially more PGE2 as compared with isolated granulosa or theca-interstitial cell preparations suggesting a requirement for cell-cell interaction. Indeed, cell contact-dependent reconstitution experiments involving isolated granulosa and theca-interstitial cells at a projected physiologic ratio of 4:1 revealed synergistic interactions in the elaboration of PGE2 under both basal and IL-1-beta-treated circumstances. Identical results were obtained for cell contact-independent heterologous (but not homologous) coculture experiments. Taken together, our present findings reveal optimal basal and IL-1-stimulated ovarian prostaglandin (PGE2 > PGF2-alpha) biosynthesis to require heterologous, contact-independent, presumably humorally-mediated, cell-cell interaction. These observations along with the demonstration of the gonadotropin-dependent preovulatory induction of ovarian IL-1-beta gene expression provide strong support for the view that IL-1 may be the centerpiece of an intraovarian regulatory loop concerned with the promotion of the preovulatory cascade