Observation of Seven Astrophysical Tau Neutrino Candidates with IceCube

We report on a measurement of astrophysical tau neutrinos with 9.7 yr of IceCube data. Using convolutional neural networks trained on images derived from simulated events, seven candidate ν_{τ} events were found with visible energies ranging from roughly 20 TeV to 1 PeV and a median expected parent ν_{τ} energy of about 200 TeV. Considering backgrounds from astrophysical and atmospheric neutrinos, and muons from π^{±}/K^{±} decays in atmospheric air showers, we obtain a total estimated background of about 0.5 events, dominated by non-ν_{τ} astrophysical neutrinos. Thus, we rule out the absence of astrophysical ν_{τ} at the 5σ level. The measured astrophysical ν_{τ} flux is consistent with expectations based on previously published IceCube astrophysical neutrino flux measurements and neutrino oscillations.

Do values and political attitudes affect help-seeking? Exploring reported help-seeking for mental health problems in a general population sample using a milieu framework

AIMS

Help-seeking for mental health problems is facilitated and hindered by several factors at the individual, interpersonal and community level. The most frequently researched factors contributing to differences in help-seeking behaviour are based on classical socio-demographic variables, such as age, gender and education, but explanations for the observed differences are often absent or remain vague. The present study complements traditional approaches in help-seeking research by introducing a milieu approach, focusing on values and political attitudes as a possible explanation for differences in help-seeking for emotional mental health problems.

METHODS

A representative cross-sectional survey of N = 3,042 respondents in Germany was conducted through face-to-face interviews about past help-seeking for mental health problems, socio-demographic characteristics and values and political attitudes.

RESULTS

Multivariate logistic regression analyses indicated that belonging to a cosmopolitan intellectual milieu group was significantly associated with an increased likelihood of past help-seeking for mental health issues (psychotherapeutic/psychological help-seeking [OR = 2.09, 95% CI: 1.11-3.93, p < 0.05) and primary care (OR = 2.21, 95% CI: 1.15-4.24, p < 0.05]), whereas members of individualist and conservative milieu groups were less likely to report having sought help from a psychotherapist, but not from a general practitioner. Increased odds ratios were also found for a number of socio-demographic variables, such as being aged 26 years and over, a female gender and more than 12 years of formal education. Associations between socio-demographic variables remained significant, and the explained variance of the used models improved considerably when milieu variables were added.

CONCLUSIONS

We discuss how milieu-specific patterns were relevant for explaining differences in mental health service use in addition to socio-demographic factors. It seems promising to consider help-seeking from a milieu perspective to improve disparities in access to and the use of psychotherapy as well as to resource allocation.

Observation of high-energy neutrinos from the Galactic plane

The origin of high-energy cosmic rays, atomic nuclei that continuously impact Earth's atmosphere, is unknown. Because of deflection by interstellar magnetic fields, cosmic rays produced within the Milky Way arrive at Earth from random directions. However, cosmic rays interact with matter near their sources and during propagation, which produces high-energy neutrinos. We searched for neutrino emission using machine learning techniques applied to 10 years of data from the IceCube Neutrino Observatory. By comparing diffuse emission models to a background-only hypothesis, we identified neutrino emission from the Galactic plane at the 4.5σ level of significance. The signal is consistent with diffuse emission of neutrinos from the Milky Way but could also arise from a population of unresolved point sources.

Evidence for neutrino emission from the nearby active galaxy NGC 1068

A supermassive black hole, obscured by cosmic dust, powers the nearby active galaxy NGC 1068. Neutrinos, which rarely interact with matter, could provide information on the galaxy’s active core. We searched for neutrino emission from astrophysical objects using data recorded with the IceCube neutrino detector between 2011 and 2020. The positions of 110 known gamma-ray sources were individually searched for neutrino detections above atmospheric and cosmic backgrounds. We found that NGC 1068 has an excess of 79 − 20 + 22 neutrinos at tera–electron volt energies, with a global significance of 4.2σ, which we interpret as associated with the active galaxy. The flux of high-energy neutrinos that we measured from NGC 1068 is more than an order of magnitude higher than the upper limit on emissions of tera–electron volt gamma rays from this source.

Search for Unstable Sterile Neutrinos with the IceCube Neutrino Observatory

We present a search for an unstable sterile neutrino by looking for a resonant signal in eight years of atmospheric ν_{μ} data collected from 2011 to 2019 at the IceCube Neutrino Observatory. Both the (stable) three-neutrino and the 3+1 sterile neutrino models are disfavored relative to the unstable sterile neutrino model, though with p values of 2.8% and 0.81%, respectively, we do not observe evidence for 3+1 neutrinos with neutrino decay. The best-fit parameters for the sterile neutrino with decay model from this study are Δm_{41}^{2}=6.7_{-2.5}^{+3.9}  eV^{2}, sin^{2}2θ_{24}=0.33_{-0.17}^{+0.20}, and g^{2}=2.5π±1.5π, where g is the decay-mediating coupling. The preferred regions of the 3+1+decay model from short-baseline oscillation searches are excluded at 90% C.L.

A case of fulminant respiratory diphtheria in a 24-year-old Afghan refugee in Austria in May 2022: a case report

PURPOSE

Raising awareness of respiratory diphtheria and for the importance of early antitoxin administration.

METHODS

Report of a case of fulminant, imported respiratory diphtheria in an otherwise healthy 24-year-old Afghan refugee in Austria in May 2022.

RESULT

This was the first case of respiratory diphtheria in Austria since 1993. Diphtheria antitoxin was administered at an already progressed disease stage. This delay contributed to a fulminant disease course with multiorgan failure and death.

CONCLUSION

In high-income countries with low case numbers, awareness of respiratory diphtheria and for the importance of early antitoxin administration must be raised.

Strong Constraints on Neutrino Nonstandard Interactions from TeV-Scale ν_{μ} Disappearance at IceCube

We report a search for nonstandard neutrino interactions (NSI) using eight years of TeV-scale atmospheric muon neutrino data from the IceCube Neutrino Observatory. By reconstructing incident energies and zenith angles for atmospheric neutrino events, this analysis presents unified confidence intervals for the NSI parameter ε_{μτ}. The best-fit value is consistent with no NSI at a p value of 25.2%. With a 90% confidence interval of -0.0041≤ε_{μτ}≤0.0031 along the real axis and similar strength in the complex plane, this result is the strongest constraint on any NSI parameter from any oscillation channel to date.

Search for Relativistic Magnetic Monopoles with Eight Years of IceCube Data

We present an all-sky 90% confidence level upper limit on the cosmic flux of relativistic magnetic monopoles using 2886 days of IceCube data. The analysis was optimized for monopole speeds between 0.750c and 0.995c, without any explicit restriction on the monopole mass. We constrain the flux of relativistic cosmic magnetic monopoles to a level below 2.0×10^{-19}  cm^{-2} s^{-1} sr^{-1} over the majority of the targeted speed range. This result constitutes the most strict upper limit to date for magnetic monopoles with β≳0.8 and up to β∼0.995 and fills the gap between existing limits on the cosmic flux of nonrelativistic and ultrarelativistic magnetic monopoles.

[Escalation and de-escalation concept for intensive care beds in hospitals reserved for COVID-19]

BACKGROUND

Since the spread of Severe Acute Respiratory Syndrom Corona Virus 2 (SARS-CoV‑2) in Germany, intensive care beds have been kept free for patients suffering from Corona Virus Disease (COVID-19). Also, after the number of infections had declined, intensive care beds were kept free prophylactically; however, the percentage of beds reserved for COVID-19 differ in the individual federal states in Germany. The aim of this article is to define a necessary clearance quota of intensive beds for COVID-19 patients in Germany. An escalation and de-escalation scheme was created for rising and falling numbers of infected patients.

METHODS

Data from the COVID-19 resource board of the state of Baden-Württemberg, the daily situation report of the Robert Koch Institute (RKI), the register of COVID-19 intensive care beds of the German Interdisciplinary Association for Intensive Care and Emergency Medicine (DIVI) as well as the daily report of COVID-19 Baden-Württemberg from April to November 2020 were used for the calculation.

RESULTS

At the end of November 2020 approximately 13.5% of intensive care beds in Germany were used by COVID-19 patients. Of all persons tested positive for SARS-CoV‑2, 1.5% were admitted to an intensive care unit. The hospitalization rate was 6% and the mean age of infected persons was 43 years. Based on these numbers hospitals are recommended to keep 10% of intensive care beds available for COVID-19 patients in the case of less than 35 new infections/100,000 in the catchment area, 20% should be kept free in case of an advanced warning level of 35 new infections/100,000 inhabitants and 30% for a critical limit of 50 new infections/100,000 inhabitants. Further internal hospital triggers, such as the occupancy of the intensive care beds with COVID-19 patients, should be considered.

CONCLUSION

If the number of infections is low a general nationwide retention rate of more than 10% of intensive care beds for COVID-19 patients is not justified. Locally increasing numbers of infections require a local dynamic approach. If the number of infections increases, the free holding capacity should be increased according to a step by step concept in close coordination with the local health authorities and other internal hospital triggers. In order not to overwhelm hospital capacities in the event of local outbreaks, a corresponding relocation concept should be considered at an early stage.

[Managing the pandemic-relocation concept for COVID-19 intensive care patients and non-COVID-19 intensive care patients in Baden-Württemberg]

BACKGROUND

A sharp rise in COVID-19 infections threatened to lead to a local overload of intensive care units in autumn 2020. To prevent this scenario a nationwide relocation concept was developed.

METHODS

For the development of the concept publicly available infection rates of the leading infection authority in Germany were used. Within this concept six medical care regions (clusters) were designed around a center of maximum intensive care (ECMO option) based on the number of intensive care beds per 100,000 inhabitants. The concept describes the management structure including a structural chart, the individual tasks, the organization and the cluster assignment of the clinics. The transfers of intensive care patients within and between the clusters were recorded from 11 December 2020 to 31 January 2021.

RESULT

In Germany and Baden-Württemberg, 1.5% of patients newly infected with SARS-CoV‑2 required intensive care treatment in mid-December 2020. With a 7-day incidence of 192 new infections in Germany, the hospitalization rate was 10% and 28-35% of the intensive care beds were occupied by COVID-19 patients. Only 16.8% of the intensive care beds were still available, in contrast to 35% in June 2020. The developed relocation concept has been in use in Baden-Württemberg starting from 10 December 2020. From then until 7 February 2021, a median of 24 ± 5/54 intensive care patients were transferred within the individual clusters, in total 154 intensive care patients. Between the clusters, a minimum of 1 and a maximum of 15 (median 12.5) patients were transferred, 21 intensive care patients were transferred to other federal states and 21 intensive care patients were admitted from these states. The total number of intensive care patients transferred was 261.

CONCLUSION

If the number of infections with SARS-CoV‑2 increases, a nationwide relocation concept for COVID-19 intensive care patients and non-COVID-19 intensive care patients should be installed at an early stage in order not to overwhelm the capacities of hospitals. Supply regions around a leading clinic with maximum intensive care options are to be defined with a central management that organizes the necessary relocations in cooperation with regional and superregional rescue service control centers. With this concept and the intensive care transports carried out, it was possible to effectively prevent the overload of individual clinics with COVID-19 patients in Baden-Württemberg. Due to that an almost unchanged number of patients requiring regular intensive care could be treated.

Continuum beliefs and mental illness stigma: A systematic review and meta-analysis of correlation and Intervention studies

Promulgating a continuum model of mental health and mental illness has been proposed as a way to reduce stigma by decreasing notions of differentness. In a systematic review and meta-analysis, we examined whether continuum beliefs are associated with lower stigma, and whether continuum interventions reduce stigma. We searched three electronic databases (PubMed, Web of Science and PsycINFO) yielding 6726 studies. After screening, we included 33 studies covering continuum beliefs, mental illness and stigma. Of these, 13 studies were included in meta-analysis. Continuum beliefs are consistently associated with lower stigma. Interventions were effective in manipulating continuum beliefs but differ in their effects on stigmatizing attitudes. We discuss whether and to what extent attitudes towards people with mental illness can be improved by providing information on a mental health-mental illness continuum. It appeared to be relevant whether interventions promoted a feeling of “us” and a process of identification with the person with mental illness. We discuss implications for the design of future interventions using the example of our current online anti-stigma intervention, which was developed on the basis of these considerations, containing gamified elements with the purpose of identification and involvement.

222 Rn emanation measurements for the XENON1T experiment

The selection of low-radioactive construction materials is of utmost importance for the success of low-energy rare event search experiments. Besides radioactive contaminants in the bulk, the emanation of radioactive radon atoms from material surfaces attains increasing relevance in the effort to further reduce the background of such experiments. In this work, we present the 222 Rn emanation measurements performed for the XENON1T dark matter experiment. Together with the bulk impurity screening campaign, the results enabled us to select the radio-purest construction materials, targeting a 222 Rn activity concentration of 10 μ Bq / kg in 3.2 t of xenon. The knowledge of the distribution of the 222 Rn sources allowed us to selectively eliminate problematic components in the course of the experiment. The predictions from the emanation measurements were compared to data of the 222 Rn activity concentration in XENON1T. The final 222 Rn activity concentration of ( 4.5 ± 0.1 ) μ Bq / kg in the target of XENON1T is the lowest ever achieved in a xenon dark matter experiment.

Nonlinear plasma wavelength scalings in a laser wakefield accelerator

Laser wakefield acceleration relies on the excitation of a plasma wave due to the ponderomotive force of an intense laser pulse. However, plasma wave trains in the wake of the laser have scarcely been studied directly in experiments. Here we use few-cycle shadowgraphy in conjunction with interferometry to quantify plasma waves excited by the laser within the density range of GeV-scale accelerators, i.e., a few 10^{18}cm^{-3}. While analytical models suggest a clear dependency between the nonlinear plasma wavelength and the peak potential a_{0}, our study shows that the analytical models are only accurate for driver strength a_{0}≲1. Experimental data and systematic particle-in-cell simulations reveal that nonlinear lengthening of the plasma wave train depends not solely on the laser peak intensity but also on the waist of the focal spot.

Light Dark Matter Search with Ionization Signals in XENON1T

We report constraints on light dark matter (DM) models using ionization signals in the XENON1T experiment. We mitigate backgrounds with strong event selections, rather than requiring a scintillation signal, leaving an effective exposure of (22±3) tonne day. Above ∼0.4  keV_{ee}, we observe <1  event/(tonne day keV_{ee}), which is more than 1000 times lower than in similar searches with other detectors. Despite observing a higher rate at lower energies, no DM or CEvNS detection may be claimed because we cannot model all of our backgrounds. We thus exclude new regions in the parameter spaces for DM-nucleus scattering for DM masses m_{χ} within 3-6  GeV/c^{2}, DM-electron scattering for m_{χ}>30  MeV/c^{2}, and absorption of dark photons and axionlike particles for m_{χ} within 0.186-1  keV/c^{2}.

Search for Light Dark Matter Interactions Enhanced by the Migdal Effect or Bremsstrahlung in XENON1T

Direct dark matter detection experiments based on a liquid xenon target are leading the search for dark matter particles with masses above ∼5  GeV/c^{2}, but have limited sensitivity to lighter masses because of the small momentum transfer in dark matter-nucleus elastic scattering. However, there is an irreducible contribution from inelastic processes accompanying the elastic scattering, which leads to the excitation and ionization of the recoiling atom (the Migdal effect) or the emission of a bremsstrahlung photon. In this Letter, we report on a probe of low-mass dark matter with masses down to about 85  MeV/c^{2} by looking for electronic recoils induced by the Migdal effect and bremsstrahlung using data from the XENON1T experiment. Besides the approach of detecting both scintillation and ionization signals, we exploit an approach that uses ionization signals only, which allows for a lower detection threshold. This analysis significantly enhances the sensitivity of XENON1T to light dark matter previously beyond its reach.

Constraining the Spin-Dependent WIMP-Nucleon Cross Sections with XENON1T

We report the first experimental results on spin-dependent elastic weakly interacting massive particle (WIMP) nucleon scattering from the XENON1T dark matter search experiment. The analysis uses the full ton year exposure of XENON1T to constrain the spin-dependent proton-only and neutron-only cases. No significant signal excess is observed, and a profile likelihood ratio analysis is used to set exclusion limits on the WIMP-nucleon interactions. This includes the most stringent constraint to date on the WIMP-neutron cross section, with a minimum of 6.3×10^{-42}  cm^{2} at 30  GeV/c^{2} and 90% confidence level. The results are compared with those from collider searches and used to exclude new parameter space in an isoscalar theory with an axial-vector mediator.

First Results on the Scalar WIMP-Pion Coupling, Using the XENON1T Experiment

We present first results on the scalar coupling of weakly interacting massive particles (WIMPs) to pions from 1  t yr of exposure with the XENON1T experiment. This interaction is generated when the WIMP couples to a virtual pion exchanged between the nucleons in a nucleus. In contrast to most nonrelativistic operators, these pion-exchange currents can be coherently enhanced by the total number of nucleons and therefore may dominate in scenarios where spin-independent WIMP-nucleon interactions are suppressed. Moreover, for natural values of the couplings, they dominate over the spin-dependent channel due to their coherence in the nucleus. Using the signal model of this new WIMP-pion channel, no significant excess is found, leading to an upper limit cross section of 6.4×10^{-46}  cm^{2} (90% confidence level) at 30  GeV/c^{2} WIMP mass.

Hypothalamus enlargement in mood disorders

OBJECTIVE

The purpose of this study was to determine, in vivo, whether the hypothalamus volume is reduced in patients with mood disorders.

METHODS

The cross-sectional study included 20 unmedicated (MDDu) and 20 medicated patients with major depressive disorder, 21 patients with bipolar disorder, and 23 controls. Twenty of the controls were matched to the MDDu. Seven Tesla, T1-weighted magnetic resonance images were acquired and processed using methods specifically developed for high-precision volumetry of the hypothalamus.

RESULTS

An overall group difference was observed for the left hypothalamus volume corrected for intracranial volume. Planned contrasts identified that the left hypothalamus was approximately 5% larger in each patient group compared with the control group. A paired t-test with the 20 matched pairs of MDDu and controls and without correction for covariates confirmed the larger left hypothalamus volume in MDDu.

CONCLUSIONS

Contrary to our expectations, the hypothalamus volume was increased in patients with uni- and bipolar affective disorders. The effect was left-sided and independent of medication status or statistical correction for covariates. Supported by emerging evidence that the stress response may be related to structural and functional asymmetry in the brain, our finding suggests a crucial role of the hypothalamus in mood disorders.

Dark Matter Search Results from a One Ton-Year Exposure of XENON1T

We report on a search for weakly interacting massive particles (WIMPs) using 278.8 days of data collected with the XENON1T experiment at LNGS. XENON1T utilizes a liquid xenon time projection chamber with a fiducial mass of (1.30±0.01)  ton, resulting in a 1.0 ton yr exposure. The energy region of interest, [1.4,10.6]  keV_{ee} ([4.9,40.9] keV_{nr}), exhibits an ultralow electron recoil background rate of [82_{-3}^{+5}(syst)±3(stat)]  events/(ton yr keV_{ee}). No significant excess over background is found, and a profile likelihood analysis parametrized in spatial and energy dimensions excludes new parameter space for the WIMP-nucleon spin-independent elastic scatter cross section for WIMP masses above 6  GeV/c^{2}, with a minimum of 4.1×10^{-47}  cm^{2} at 30  GeV/c^{2} and a 90% confidence level.

Author Correction: High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

In the version of this article initially published, Figs. 5a,c and 6a were incorrect because of an error in a metadata spreadsheet that led to the healthy donor patient 2 (HD2) samples being used twice in the analysis of baseline samples and in the analysis at 12 weeks of anti-PD-1 therapy, while HD3 samples had not been used.

Abstract 566: High dimensional single cell analysis predicts response to anti-PD-1 immunotherapy

Checkpoint inhibition of programmed cell death protein 1 (PD-1) has revolutionized cancer therapy. As more and more patients with metastatic melanoma but also other cancers show a dramatic increase in progression-free survival, still a large proportion of patients do not show durable response. As options for monotherapies, as well as combination immunotherapies, increase in the clinics, predictive biomarkers of clinical response are urgently needed. We employed high-dimensional single cell mass cytometry and a machine-learning bioinformatics pipeline for the in-depth characterization of all immune cells in the peripheral blood of stage IV melanoma patients before and at 12 weeks of anti-PD-1 immunotherapy. We observed a clear treatment response of patients under immunotherapy. However, a strong predictor of progression free and overall survival in response to anti-PD-1 immunotherapy before therapy was the frequency of CD14+CD16-HLA-DRhi monocytes. We could confirm this by conventional flow cytometry in an independent, blinded validation cohort and propose this as a novel predictive biomarker for therapy decisions in the clinic. We further present a high dimensional analysis workflow to analyze predictive and prognostic immune biomarkers during future clinical trials.

Citation Format: Carsten Krieg, Malgorzata Nowicka, Silvia Guglietta, Sabrina Schindler, Felix J. Hartmann, Lukas M. Weber, Reinhard Dummer, Mark D. Robinson, Mitchell P. Levesque, Burkhard Becher. High dimensional single cell analysis predicts response to anti-PD-1 immunotherapy [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 566.

Abstract 5204: MYC expression and smoking as drivers of failure of immune response to melanoma

There is good evidence that an immune response to melanoma predicts better survival. We report a bioinformatic study designed to identify immune subgroups of primary melanomas in order to better understand the biology of immune cell/tumor interaction, and to identify candidate predictive biomarkers for immunotherapy.

We applied an approach described by Angelova et al. to the inference of tumor immune cell infiltrates using differential expression of signature genes, in 703 primary melanoma transcriptomes from the Leeds Melanoma Cohort (LMC). Consensus clustering of immune cell scores identified 3 subgroups in LMC and replication was sought in The Cancer Genome Atlas (TCGA) data set, (primarily metastatic samples). We then used the whole transcriptomic data to explore associated biological pathways: a protein-protein interaction network analysis of genes was performed in Cytoscape plugin Reactome FIVIZ. Nodal genes were identified and the cellular origin of the gene expression signature further explored using immunohistochemistry (IHC) and in patient-derived melanoma cell culture transcriptomes. Clinicopathological and environmental factors, and immune cell scores associated with survival within immune subgroups, were then analysed using a multivariate Cox proportional hazard model.

We identified three subgroups with transcriptomic patterns indicative of: low, intermediate and high immune cell infiltration. The groups were concordant with histological evidence of tumor infiltrating lymphocytes. Genes enriched in the low, compared with the high immune group, were in cell cycle, metabolic and Beta-catenin pathways. MYC was the nodal (the most influential) gene of the protein-protein interaction network in this group. In the high immune group, genes were enriched in immune pathways, including antigen processing and presentation, with the nodal gene - NFKB1. Based on the literature and our results, we hypothesised that MYC downregulates HLA-class I, hence we tested MYC correlations in the melanoma cell line transcriptomes (in which immune cells were absent). Indeed, MYC was negatively correlated with many HLA class I genes, with HLA-B having the strongest result: R=-0.57. IHC of primary tumors showed tumor nuclear expression of MYC. Reported smoking independently predicted a worse outcome for patients classified as the high immune group (HR=3.52, P=0.008). The transcriptomic analysis showed that smoking correlated with an increased Th2 cell score (P=0.03) and reduced NK56 bright score (P=0.01) in that group.

We report evidence that MYC plays an important role in immune evasion in primary melanoma. The transcriptomic data support in vitro findings that MYC downregulates HLA class I expression. Furthermore, we present important results that smoking status modifies immune response in melanoma and is an independent risk factor for melanoma death. We hypothesise that smoking may impact on immunotherapy efficacy.

Citation Format: Joanna Pozniak, Jeremie Nsengimana, Jon Laye, Sally O'Shea, Sabrina Schindler, Mitch Levesque, Tim Bishop, Julia Newton-Bishop. MYC expression and smoking as drivers of failure of immune response to melanoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5204.

Biomarker prediction to anti-PD-1 immunotherapy by using high dimensional single cell analysis

Blockade of checkpoint inhibitors such as programmed cell death protein 1 (PD-1) set the pace for the immunotherapy of cancer. Following the initial success in metastatic melanoma, by showing a dramatic increase in progression-free survival, PD-1 immunotherapy was expanded to other cancers. As PD-1 monotherapy advances into first line treatment and combination of checkpoint inhibitors and other therapies start to show even increased response rates, still a large proportion of patients do not show durable responses. Therefore, predictive biomarkers of clinical response for stratification of patients most likely to respond to immunotherapy are urgently needed. In this study, we employed high-dimensional single cell mass cytometry and a generalized machine-learning bioinformatics workflow for the in-depth characterization of all immune cells in the peripheral blood of stage IV melanoma patients before and at 12 weeks of anti-PD-1 immunotherapy. In agreement with published literature a clear response in the T cell compartment of patients under immunotherapy was observed. To our surprise, prior to commencing PD-1 immunotherapy, a strong predictor of progression free and overall survival in responders to anti-PD-1 was a higher frequency of CD14+CD16−HLA-DRhi monocytes. We confirmed this finding by conventional flow cytometry in an independent, blinded validation cohort. Altogether, in this study, we identified for the first time a novel predictive biomarker for therapy decision in the treatment of metastatic melanoma and propose to extend this approach to select for positive responders in other cancers prior to immune checkpoint therapy.

High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

Immune-checkpoint blockade has revolutionized cancer therapy. In particular, inhibition of programmed cell death protein 1 (PD-1) has been found to be effective for the treatment of metastatic melanoma and other cancers. Despite a dramatic increase in progression-free survival, a large proportion of patients do not show durable responses. Therefore, predictive biomarkers of a clinical response are urgently needed. Here we used high-dimensional single-cell mass cytometry and a bioinformatics pipeline for the in-depth characterization of the immune cell subsets in the peripheral blood of patients with stage IV melanoma before and after 12 weeks of anti-PD-1 immunotherapy. During therapy, we observed a clear response to immunotherapy in the T cell compartment. However, before commencing therapy, a strong predictor of progression-free and overall survival in response to anti-PD-1 immunotherapy was the frequency of CD14⁺CD16^-HLA-DR^hi monocytes. We confirmed this by conventional flow cytometry in an independent, blinded validation cohort, and we propose that the frequency of monocytes in PBMCs may serve in clinical decision support.

First Dark Matter Search Results from the XENON1T Experiment

We report the first dark matter search results from XENON1T, a ∼2000-kg-target-mass dual-phase (liquid-gas) xenon time projection chamber in operation at the Laboratori Nazionali del Gran Sasso in Italy and the first ton-scale detector of this kind. The blinded search used 34.2 live days of data acquired between November 2016 and January 2017. Inside the (1042±12)-kg fiducial mass and in the [5,40]  keV_{nr} energy range of interest for weakly interacting massive particle (WIMP) dark matter searches, the electronic recoil background was (1.93±0.25)×10^{-4}  events/(kg×day×keV_{ee}), the lowest ever achieved in such a dark matter detector. A profile likelihood analysis shows that the data are consistent with the background-only hypothesis. We derive the most stringent exclusion limits on the spin-independent WIMP-nucleon interaction cross section for WIMP masses above 10  GeV/c^{2}, with a minimum of 7.7×10^{-47}  cm^{2} for 35-GeV/c^{2} WIMPs at 90% C.L.

MEK inhibition and immune responses in advanced melanoma

phase II and III clinical trials demonstrated modest anti- tumor activity of Binimetinib (MEK162) - a potent allosteric inhibitor of MEK1 and MEK2- in patients with advanced NRAS mutant melanoma. The analysis of the NEMO study in NRAS mutated melanoma, has shown that pre-treatment with immunotherapy improved the outcome of binimetinib therapy. We discuss this finding in the context of in vitro and in vivo effects of MEK inhibition on immuno-critical pathways and interactions.

High dimensional analysis of immune signatures in melanoma patients

Checkpoint inhibitor therapy (CIT) has revolutionized cancer therapy. Notably, inhibition of programmed cell death protein 1 (PD-1) showed benefit in the treatment of metastatic melanoma and has even been promoted to first line therapy in advanced melanoma. Despite an increase in overall survival a minority of patients profits from CIT with anti-PD-1. Therefore, immune components or markers predicting responsiveness are urgently needed. Using phenotypic and functional markers we used high-dimensional single cell cytometry by time of flight (CyTOF), to measure blood samples from anti-PD-1 treated patients before and during therapy. CyTOF uses metal-tagged instead of fluorochrome-tagged antibodies, thus eliminating spectral overlap and, in combination with barcoding, enables the measurement of more than 30 parameters on a single cell in multiple samples in parallel. Due to the complexity of the data set and in order to reduce analytical bias we adapted a custom bioinformatic workflow. Using this approach we find immune signatures which allow us to separate responders from non-responders and might provide insights into the biology of immune therapy.

Search for Electronic Recoil Event Rate Modulation with 4 Years of XENON100 Data

We report on a search for electronic recoil event rate modulation signatures in the XENON100 data accumulated over a period of 4 yr, from January 2010 to January 2014. A profile likelihood method, which incorporates the stability of the XENON100 detector and the known electronic recoil background model, is used to quantify the significance of periodicity in the time distribution of events. There is a weak modulation signature at a period of 431_{-14}^{+16} day in the low energy region of (2.0-5.8) keV in the single scatter event sample, with a global significance of 1.9σ; however, no other more significant modulation is observed. The significance of an annual modulation signature drops from 2.8σ, from a previous analysis of a subset of this data, to 1.8σ with all data combined. Single scatter events in the low energy region are thus used to exclude the DAMA/LIBRA annual modulation as being due to dark matter electron interactions via axial vector coupling at 5.7σ.

The pro-oxidative drug WF-10 inhibits serial killing by primary human cytotoxic T-cells

Cytotoxic T-cells (CTLs) play an important role in many immune-mediated inflammatory diseases. Targeting cytotoxicity of CTLs would allow to interfere with immune-mediated tissue destruction. Here we demonstrate that WF-10, a pro-oxidative compound, inhibits CTL-mediated cytotoxicity. WF-10 did not influence early steps of target-cell killing, but impaired the ability of CTLs to detach from the initial target cell and to move to a second target cell. This reduced serial killing was accompanied by stronger enrichment of the adhesion molecule LFA-1 in the cytolytic immune synapse. LFA-1 clustering requires activation of the actin-bundling protein L-plastin and was accordingly diminished in L-plastin knockdown cells. Interestingly, WF-10 likely acts through regulating L-plastin: (I) It induced L-plastin activation through phosphorylation leading to enhanced LFA-1-mediated cell adhesion, and, importantly, (II) WF-10 lost its influence on target-cell killing in L-plastin knockdown cells. Finally, we demonstrate that WF-10 can improve immunosuppression by conventional drugs. Thus, while cyclosporine A alone had no significant effect on cytotoxicity of CTLs, a combination of cyclosporine A and WF-10 blocked target-cell killing synergistically. Together, our findings suggest that WF-10 – either alone or in combination with conventional immunosuppressive drugs – may be efficient to control progression of diseases, in which CTLs are crucially involved.

Search for Event Rate Modulation in XENON100 Electronic Recoil Data

We have searched for periodic variations of the electronic recoil event rate in the (2-6) keV energy range recorded between February 2011 and March 2012 with the XENON100 detector, adding up to 224.6 live days in total. Following a detailed study to establish the stability of the detector and its background contributions during this run, we performed an unbinned profile likelihood analysis to identify any periodicity up to 500 days. We find a global significance of less than 1σ for all periods, suggesting no statistically significant modulation in the data. While the local significance for an annual modulation is 2.8σ, the analysis of a multiple-scatter control sample and the phase of the modulation disfavor a dark matter interpretation. The DAMA/LIBRA annual modulation interpreted as a dark matter signature with axial-vector coupling of weakly interacting massive particles to electrons is excluded at 4.8σ.

Crystal structures of the viral protease Npro imply distinct roles for the catalytic water in catalysis

Npro is a key effector protein of pestiviruses such as bovine viral diarrhea virus and abolishes host cell antiviral defense mechanisms. Synthesized as the N-terminal part of the viral polyprotein, Npro releases itself via an autoproteolytic cleavage, triggering its immunological functions. However, the mechanisms of its proteolytic action and its immune escape were unclear. Here, we present the crystal structures of Npro to 1.25 Å resolution. Structures of pre- and postcleavage intermediates identify three catalytically relevant elements. The trapping of the putative catalytic water reveals its distinct roles as a base, acid, and nucleophile. The presentation of the substrate further explains the enigmatic latency of the protease, ensuring a single in cis cleavage. Additionally, we identified a zinc-free, disulfide-linked conformation of the TRASH motif, an interaction hub of immune factors. The structure opens additional opportunities in utilizing Npro as an autocleaving fusion protein and as a pharmaceutical target.

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Putative catalytic water reveals distinct roles as a base, acid, and nucleophile

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The structural mechanism explains a single in cis cleavage

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The bimodular architecture reflects proteolytic and immunological functions

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The structure provides two orthogonal targets for therapy

The nucleoside diphosphate kinase gene Nme3 acts as quantitative trait locus promoting non-Mendelian inheritance

The t-haplotype, a variant form of the t-complex region on mouse chromosome 17, acts as selfish genetic element and is transmitted at high frequencies (> 95%) from heterozygous (t/+) males to their offspring. This phenotype is termed transmission ratio distortion (TRD) and is caused by the interaction of the t-complex responder (Tcr) with several quantitative trait loci (QTL), the t-complex distorters (Tcd1 to Tcd4), all located within the t-haplotype region. Current data suggest that the distorters collectively impair motility of all sperm derived from t/+ males; t-sperm is rescued by the responder, whereas (+)-sperm remains partially dysfunctional. Recently we have identified two distorters as regulators of RHO small G proteins. Here we show that the nucleoside diphosphate kinase gene Nme3 acts as a QTL on TRD. Reduction of the Nme3 dosage by gene targeting of the wild-type allele enhanced the transmission rate of the t-haplotype and phenocopied distorter function. Genetic and biochemical analysis showed that the t-allele of Nme3 harbors a mutation (P89S) that compromises enzymatic activity of the protein and genetically acts as a hypomorph. Transgenic overexpression of the Nme3 t-allele reduced t-haplotype transmission, proving it to be a distorter. We propose that the NME3 protein interacts with RHO signaling cascades to impair sperm motility through hyperactivation of SMOK, the wild-type form of the responder. This deleterious effect of the distorters is counter-balanced by the responder, SMOK(Tcr), a dominant-negative protein kinase exclusively expressed in t-sperm, thus permitting selfish behaviour and preferential transmission of the t-haplotype. In addition, the previously reported association of NME family members with RHO signaling in somatic cell motility and metastasis, in conjunction with our data involving RHO signaling in sperm motility, suggests a functional conservation between mechanisms for motility control in somatic cells and spermatozoa.