A machine learning-based chemoproteomic approach to identify drug targets and binding sites in complex proteomes

Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in the development of optimized small-molecule compounds. Current approaches cannot identify the protein targets of a compound and also detect the interaction surfaces between ligands and protein targets without prior labeling or modification. To address this limitation, we here develop LiP-Quant, a drug target deconvolution pipeline based on limited proteolysis coupled with mass spectrometry that works across species, including in human cells. We use machine learning to discern features indicative of drug binding and integrate them into a single score to identify protein targets of small molecules and approximate their binding sites. We demonstrate drug target identification across compound classes, including drugs targeting kinases, phosphatases and membrane proteins. LiP-Quant estimates the half maximal effective concentration of compound binding sites in whole cell lysates, correctly discriminating drug binding to homologous proteins and identifying the so far unknown targets of a fungicide research compound

Fungal Planet description sheets: 1284–1382

Novel species of fungi described in this study include those from various countries as follows: Antartica, Cladosporium austrolitorale from coastal sea sand. Australia, Austroboletus yourkae on soil, Crepidotus innuopurpureus on dead wood, Curvularia stenotaphri from roots and leaves of Stenotaphrum secundatum and Thecaphora stajsicii from capsules of Oxalis radicosa. Belgium, Paraxerochrysium coryli (incl. Paraxerochrysium gen. nov.) from Corylus avellana. Brazil, Calvatia nordestina on soil, Didymella tabebuiicola from leaf spots on Tabebuia aurea, Fusarium subflagellisporum from hypertrophied floral and vegetative branches of Mangifera indica and Microdochium maculosum from living leaves of Digitaria insularis. Canada, Cuphophyllus bondii fromagrassland. Croatia, Mollisia inferiseptata from a rotten Laurus nobilis trunk. Cyprus, Amanita exilis oncalcareoussoil. Czech Republic, Cytospora hippophaicola from wood of symptomatic Vaccinium corymbosum. Denmark, Lasiosphaeria deviata on pieces of wood and herbaceousdebris. Dominican Republic, Calocybella goethei among grass on a lawn. France (Corsica) , Inocybe corsica onwetground. France (French Guiana) , Trechispora patawaensis on decayed branch of unknown angiosperm tree and Trechispora subregularis on decayed log of unknown angiosperm tree. Germany, Paramicrothecium sambuci (incl. Paramicrothecium gen. nov.)ondeadstemsof Sambucus nigra. India, Aureobasidium microtermitis from the gut of a Microtermes sp. termite, Laccaria diospyricola on soil and Phylloporia tamilnadensis on branches of Catunaregam spinosa. Iran, Pythium serotinoosporum from soil under Prunus dulcis. Italy, Pluteus brunneovenosus on twigs of broad leaved trees on the ground. Japan, Heterophoma rehmanniae on leaves of Rehmannia glutinosa f. hueichingensis. Kazakhstan, Murispora kazachstanica from healthy roots of Triticum aestivum. Namibia, Caespitomonium euphorbiae (incl. Caespitomonium gen. nov.)from stems of an Euphorbia sp. Netherlands, Alfaria junci, Myrmecridium junci, Myrmecridium juncicola, Myrmecridium juncigenum, Ophioceras junci, Paradinemasporium junci (incl. Paradinemasporium gen. nov.), Phialoseptomonium junci, Sporidesmiella juncicola, Xenopyricularia junci and Zaanenomyces quadripartis (incl. Zaanenomyces gen. nov.), fromdeadculmsof Juncus effusus, Cylindromonium everniae and Rhodoveronaea everniae from Evernia prunastri, Cyphellophora sambuci and Myrmecridium sambuci from Sambucus nigra, Kiflimonium junci, Saro cladium junci, Zaanenomyces moderatricis academiae and Zaanenomyces versatilis from dead culms of Juncus inflexus, Microcera physciae from Physcia tenella, Myrmecridium dactylidis from dead culms of Dactylis glomerata, Neochalara spiraeae and Sporidesmium spiraeae from leaves of Spiraea japonica, Neofabraea salicina from Salix sp., Paradissoconium narthecii (incl. Paradissoconium gen. nov.)from dead leaves of Narthecium ossifragum, Polyscytalum vaccinii from Vaccinium myrtillus, Pseudosoloacrosporiella cryptomeriae (incl. Pseudosoloacrosporiella gen. nov.)fromleavesof Cryptomeria japonica, Ramularia pararhabdospora from Plantago lanceolata, Sporidesmiella pini from needles of Pinus sylvestris and Xenoacrodontium juglandis (incl. Xenoacrodontium gen. nov. and Xenoacrodontiaceae fam. nov.)from Juglans regia. New Zealand, Cryptometrion metrosideri from twigs of Metrosideros sp., Coccomyces pycnophyllocladi from dead leaves of Phyllocladus alpinus, Hypoderma aliforme from fallen leaves Fuscopora solandri and Hypoderma subiculatum from dead leaves Phormium tenax. Norway, Neodevriesia kalakoutskii from permafrost and Variabilispora viridis from driftwood of Picea abies. Portugal, Entomortierella hereditatis from abio film covering adeteriorated limestone wall. Russia, Colpoma junipericola from needles of Juniperus sabina, Entoloma cinnamomeum on soil in grasslands, Entoloma verae on soil in grasslands, Hyphodermella pallidostraminea on a dry dead branch of Actinidia sp., Lepiota sayanensis onlitterinamixedforest, Papiliotrema horticola from Malus communis , Paramacroventuria ribis (incl. Paramacroventuria gen. nov.)fromleaves of Ribes aureum and Paramyrothecium lathyri from leaves of Lathyrus tuberosus. South Africa, Harzia combreti from leaf litter of Combretum collinum ssp. sulvense, Penicillium xyleborini from Xyleborinus saxesenii , Phaeoisaria dalbergiae from bark of Dalbergia armata, Protocreopsis euphorbiae from leaf litter of Euphorbia ingens and Roigiella syzygii from twigs of Syzygium chordatum. Spain, Genea zamorana on sandy soil, Gymnopus nigrescens on Scleropodium touretii, Hesperomyces parexochomi on Parexochomus quadriplagiatus, Paraphoma variabilis from dung, Phaeococcomyces kinklidomatophilus from a blackened metal railing of an industrial warehouse and Tuber suaveolens in soil under Quercus faginea. Svalbard and Jan Mayen, Inocybe nivea associated with Salix polaris. Thailand, Biscogniauxia whalleyi oncorticatedwood. UK, Parasitella quercicola from Quercus robur. USA , Aspergillus arizonicus from indoor air in a hospital, Caeliomyces tampanus (incl. Caeliomyces gen. nov.)fromoffice dust, Cippumomyces mortalis (incl. Cippumomyces gen. nov.)fromatombstone, Cylindrium desperesense from air in a store, Tetracoccosporium pseudoaerium from air sample in house, Toxicocladosporium glendoranum from air in a brick room, Toxicocladosporium losalamitosense from air in a classroom, Valsonectria portsmouthensis from airinmen'slockerroomand Varicosporellopsis americana from sludge in a water reservoir. Vietnam, Entoloma kovalenkoi on rotten wood, Fusarium chuoi inside seed of Musa itinerans , Micropsalliota albofelina on soil in tropical evergreen mixed forest sand Phytophthora docyniae from soil and roots of Docynia indica. Morphological and culture characteristics are supported by DNA barcodes

Acute mountain sickness.

Acute mountain sickness (AMS) is a clinical syndrome occurring in otherwise healthy normal individuals who ascend rapidly to high altitude. Symptoms develop over a period ofa few hours or days. The usual symptoms include headache, anorexia, nausea, vomiting, lethargy, unsteadiness of gait, undue dyspnoea on moderate exertion and interrupted sleep. AMS is unrelated to physical fitness, sex or age except that young children over two years of age are unduly susceptible. One of the striking features ofAMS is the wide variation in individual susceptibility which is to some extent consistent. Some subjects never experience symptoms at any altitude while others have repeated attacks on ascending to quite modest altitudes. Rapid ascent to altitudes of 2500 to 3000m will produce symptoms in some subjects while after ascent over 23 days to 5000m most subjects will be affected, some to a marked degree. In general, the more rapid the ascent, the higher the altitude reached and the greater the physical exertion involved, the more severe AMS will be. Ifthe subjects stay at the altitude reached there is a tendency for acclimatization to occur and symptoms to remit over 1-7 days

Fungal Planet description sheets: 1284-1382

Novel species of fungi described in this study include those from various countries as follows: Antartica, Cladosporium austrolitorale from coastal sea sand. Australia, Austroboletus yourkae on soil, Crepidotus innuopurpureus on dead wood, Curvularia stenotaphri from roots and leaves of Stenotaphrum secundatum and Thecaphora stajsicii from capsules of Oxalis radicosa. Belgium, Paraxerochrysium coryli (incl. Paraxerochrysium gen. nov.) from Corylus avellana. Brazil, Calvatia nordestina on soil, Didymella tabebuiicola from leaf spots on Tabebuia aurea, Fusarium subflagellisporum from hypertrophied floral and vegetative branches of Mangifera indica and Microdochium maculosum from living leaves of Digitaria insularis. Canada, Cuphophyllus bondii fromagrassland. Croatia, Mollisia inferiseptata from a rotten Laurus nobilis trunk. Cyprus, Amanita exilis oncalcareoussoil. Czech Republic, Cytospora hippophaicola from wood of symptomatic Vaccinium corymbosum. Denmark, Lasiosphaeria deviata on pieces of wood and herbaceousdebris. Dominican Republic, Calocybella goethei among grass on a lawn. France (Corsica) , Inocybe corsica onwetground. France (French Guiana) , Trechispora patawaensis on decayed branch of unknown angiosperm tree and Trechispora subregularis on decayed log of unknown angiosperm tree. [...]P.R. Johnston thanks J. Sullivan (Lincoln University) for the habitat image of Kowai Bush, Duckchul Park (Manaaki Whenua – Landcare Research) for the DNA sequencing, and the New Zealand Department of Conservation for permission to collect the specimens; this research was supported through the Manaaki Whenua – Landcare Research Biota Portfolio with funding from the Science and Innovation Group of the New Zealand Ministry of Business, Innovation and Employment. V. Hubka was supported by the Czech Ministry of Health (grant number NU21-05-00681), and is grateful for the support from the Japan Society for the Promotion of Science – grant-in-aid for JSPS research fellow (grant no. 20F20772). K. Glässnerová was supported by the Charles University Grant Agency (grant No. GAUK 140520). J. Trovão and colleagues were financed by FEDERFundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020 – Operational Programme for Competitiveness and Internationalisation (POCI), and by Portuguese funds through FCT – Fundação para a Ciência e a Tecnologia in the framework of the project POCI-01-0145-FEDER-PTDC/ EPH-PAT/3345/2014. This work was carried out at the R&D Unit Centre for Functional Ecology – Science for People and the Planet (CFE), with reference UIDB/04004/2020, financed by FCT/MCTES through national funds (PIDDAC). J. Trovão was also supported by POCH – Programa Operacional Capital Humano (co-funding by the European Social Fund and national funding by MCTES), through a ‘FCT – Fundação para a Ciência e Tecnologia’ PhD research grant (SFRH/BD/132523/2017). D. Haelewaters acknowledges support from the Research Foundation – Flanders (Junior Postdoctoral Fellowship 1206620N). M. Loizides and colleagues are grateful to Y. Cherniavsky for contributing collections AB A12-058-1 and AB A12- 058-2, and Á. Kovács and B. Kiss for their help with molecular studies of these specimens. C. Zmuda is thanked for assisting with the collection of ladybird specimens infected with Hesperomyces parexochomi. A.V. Kachalkin and colleagues were supported by the Russian Science Foundation (grant No. 19-74-10002). The study of A.M. Glushakova was carried out as part of the Scientific Project of the State Order of the Government of Russian Federation to Lomonosov Moscow State University No. 121040800174-6. S. Nanu acknowledges the Kerala State Council for Science, Technology and Environment (KSCSTE) for granting a research fellowship and is grateful to the Chief Conservator of Forests and Wildlife for giving permission to collect fungal samples. A. Bañares and colleagues thank L. Monje and A. Pueblas of the Department of Drawing and Scientific Photography at the University of Alcalá for their help in the digital preparation of the photographs, and J. Rejos, curator of the AH herbarium for his assistance with the specimens examined in the present study. The research of V. Antonín received institutional support for long-term conceptual development of research institutions provided by the Ministry of Culture (Moravian Museum, ref. MK000094862). The studies of E.F. Malysheva, V.F. Malysheva, O.V. Morozova, and S.V. Volobuev were carried out within the framework of a research project of the Komarov Botanical Institute RAS, St Petersburg, Russia (АААА-А18-118022090078-2) using equipment of its Core Facility Centre ‘Cell and Molecular Technologies in Plant Science’.The study of A.V. Alexandrova was carried out as part of the Scientific Project of the State Order of the Government of Russian Federation to Lomonosov Moscow State University No. 121032300081-7. The Kits van Waveren Foundation (Rijksherbariumfonds Dr E. Kits van Waveren, Leiden, Netherlands) contributed substantially to the costs of sequencing and travelling expenses for M.E. Noordeloos. The work of B. Dima was partly supported by the ÚNKP- 20-4 New National Excellence Program of the Ministry for Innovation and Technology from the source of the National Research, Development and Innovation Fund. The work of L. Nagy was supported by the ‘Momentum’ program of the Hungarian Academy of Sciences (contract No. LP2019- 13/2019 to L.G.N.). G.A. Kochkina and colleagues acknowledge N. Demidov for the background photograph, and N. Suzina for the SEM photomicrograph. The research of C.M. Visagie and W.J. Nel was supported by the National Research Foundation grant no 118924 and SFH170610239162. C. Gil-Durán acknowledges Agencia Nacional de Investigación y Desarrollo, Ministerio de Ciencia, Tecnología, Conocimiento e Innovación, Gobierno de Chile, for grant ANID – Fondecyt de Postdoctorado 2021 – N° 3210135. R. Chávez and G. Levicán thank DICYT-USACH and acknowledges the grants INACH RG_03-14 and INACH RT_31-16 from the Chilean Antarctic Institute, respectively. S. Tiwari and A. Baghela would like to acknowledge R. Avchar and K. Balasubramanian from the Agharkar Research Institute, Pune, Maharashtra for helping with the termite collection. S. Tiwari is also thankful to the University Grants Commission, Delhi (India) for a junior research fellowship (827/(CSIR-UGC NET DEC.2017)). R. Lebeuf and I. Saar thank D. and H. Spencer for collecting and photographing the holotype of C. bondii, and R. Smith for photographing the habitat. A. Voitk is thanked for helping with the colour plate and review of the manuscript, and the Foray Newfoundland and Labrador for providing the paratype material. I. Saar was supported by the Estonian Research Council (grant PRG1170) and the European Regional Development Fund (Centre of Excellence EcolChange). M.P.S. Câmara acknowledges the ‘Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq’ for the research productivity fellowship, and financial support (Universal number 408724/2018-8). W.A.S. Vieira acknowledges the ‘Coordenação de Aperfeiçoamento Pessoal de Ensino Superior – CAPES’ and the ‘Programa Nacional de Pós-Doutorado/CAPES – PNPD/CAPES’ for the postdoctoral fellowship. A.G.G. Amaral acknowledges CNPq, and A.F. Lima and I.G. Duarte acknowledge CAPES for the doctorate fellowships. F. Esteve-Raventós and colleagues were financially supported by FEDER/ Ministerio de Ciencia, Innovación y Universidades – Agencia Estatal de Investigación (Spain)/ Project CGL2017-86540-P. The authors would like to thank L. Hugot and N. Suberbielle (Conservatoire Botanique National de Corse, Office de l’Environnement de la Corse, Corti) for their help. The research of E. Larsson is supported by The Swedish Taxonomy Initiative, SLU Artdatabanken, Uppsala. Financial support was provided to R.J. Ferreira by the National Council for Scientific and Technological Development (CNPq), and to I.G. Baseia, P.S.M. Lúcio and M.P. Martín by the National Council for Scientific and Technological Development (CNPq) under CNPq-Universal 2016 (409960/2016-0) and CNPq-visiting researcher (407474/2013-7). J. Cabero and colleagues wish to acknowledge A. Rodríguez for his help to describe Genea zamorana, as well as H. Hernández for sharing information about the vegetation of the type locality. S. McMullan-Fisher and colleagues acknowledge K. Syme (assistance with illustrations), J. Kellermann (translations), M. Barrett (collection, images and sequences), T. Lohmeyer (collection and images) and N. Karunajeewa (for prompt accessioning). This research was supported through funding from Australian Biological Resources Study grant (TTC217-06) to the Royal Botanic Gardens Victoria. The research of M. Spetik and co-authors was supported by project No. CZ.02.1.01/0.0/0.0 /16_017/0002334. N. Wangsawat and colleagues were partially supported by NRCT and the Royal Golden Jubilee Ph.D. programme, grant number PHD/0218/2559. They are thankful to M. Kamsook for the photograph of the Phu Khiao Wildlife Sanctuary and P. Thamvithayakorn for phylogenetic illustrations. The study by N.T. Tran and colleagues was funded by Hort Innovation (Grant TU19000). They also thank the turf growers who supported their surveys and specimen collection. N. Matočec, I. Kušan, A. Pošta, Z. Tkalčec and A. Mešić thank the Croatian Science Foundation for their financial support under the project grant HRZZ-IP-2018-01-1736 (ForFungiDNA). A. Pošta thanks the Croatian Science Foundation for their support under the grant HRZZ-2018-09-7081. A. Morte is grateful to Fundación Séneca – Agencia de Ciencia y Tecnología de la Región de Murcia (20866/ PI/18) for financial support. The research of G. Akhmetova, G.M. Kovács, B. Dima and D.G. Knapp was supported by the National Research, Development and Innovation Office, Hungary (NKFIH KH-130401 and K-139026), the ELTE Thematic Excellence Program 2020 supported by the National Research, Development and Innovation Office (TKP2020-IKA-05) and the Stipendium Hungaricum Programme. The support of the János Bolyai Research Scholarship of the Hungarian Academy of Sciences and the Bolyai+ New National Excellence Program of the Ministry for Innovation and Technology to D.G. Knapp is highly appreciated. F.E. Guard and colleagues are grateful to the traditional owners, the Jirrbal and Warungu people, as well as L. and P. Hales, Reserve Managers, of the Yourka Bush Heritage Reserve. Their generosity, guidance, and the opportunity to explore the Bush Heritage Reserve on the Einasleigh Uplands in far north Queensland is greatly appreciated. The National Science Foundation (USA) provided funds (DBI#1828479) to the New York Botanical Garden for a scanning electron microscope used for imaging the spores. V. Papp was supported by the ÚNKP-21-5 New National Excellence Program of the Ministry for Innovation and Technology from the National Research, Development and Innovation Fund of Hungary. A.N. Miller thanks the WM Keck Center at the University of Illinois Urbana – Champaign for sequencing Lasiosphaeria deviata. J. Pawłowska acknowledges support form National Science Centre, Poland (grant Opus 13 no 2017/25/B/NZ8/00473). The research of T.S. Bulgakov was carried out as part of the State Research Task of the Subtropical Scientific Centre of the Russian Academy of Sciences (Theme No. 0492-2021- 0007). K. Bensch (Westerdijk Fungal Biodiversity Institute, Utrecht) is thanked for correcting the spelling of various Latin epithets.Peer reviewe

LiP-Quant, an automated chemoproteomic approach to identify drug targets in complex proteomes

Chemoproteomics is a key technology to characterize the mode of action of drugs, as it directly identifies the protein targets of bioactive compounds and aids in developing optimized small-molecule compounds. Current unbiased approaches cannot directly pinpoint the interaction surfaces between ligands and protein targets. To address his limitation we have developed a new drug target deconvolution approach based on limited proteolysis coupled with mass spectrometry that works across species including human cells (LiP-Quant). LiP-Quant features an automated data analysis pipeline and peptide-level resolution for the identification of any small-molecule binding sites, Here we demonstrate drug target identification by LiP-Quant across compound classes, including compounds targeting kinases and phosphatases. We demonstrate that LiP-Quant estimates the half maximal effective concentration (EC50) of compound binding sites in whole cell lysates. LiP-Quant identifies targets of both selective and promiscuous drugs and correctly discriminates drug binding to homologous proteins. We finally show that the LiP-Quant technology identifies targets of a novel research compound of biotechnological interest

Definition of fields margins for the optimized 2D radiotherapy of prostate carcinoma

Prostate cancer (PCa) is one of the most common malignancies in men both in western and developing countries. Radiotherapy (RT) is an important therapeutic option. New technologies (including 3D, intensity modulated RT, image-guided RT and, volumetric modulated arc therapy) have been introduced in the last few decades with progressive improvement of clinical outcomes. However, in many developing countries, the only treatment option is the traditional two-dimensional (2D) technique based on standard simulation. The guidelines for 2D field definition are still based on expert's opinions. The aim of the present study was to propose new practical guidelines for 2D fields definition based on 3D simulation in PCa. A total of 20 patients were enrolled. Computed tomography-simulation and pelvic magnetic resonance images were merged to define the prostate volumes. Clinical Target Volume (CTV) was defined using the European Organisation for Research and Treatment of Cancer guidelines in consideration of the four risk categories: Low, intermediate, and high risk with or without seminal vesicles involvement, respectively. Planning Target Volume (PTV) was defined by adding 10 mm to the CTV. For each category, two treatment plans were calculated using a cobalt source or 10 MV photons. Progressive optimization was achieved by evaluating 3D dose distribution. Finally, the optimal distances between field margins and radiological landmarks (bones and rectum with contrast medium) were defined. The results were reported in tabular form. Both field margins (PTV D-98% >95%) needed to adequately irradiate all patients and to achieve a similar result in 95% of the enrolled patients are reported. Using a group of patients with PCa and based on a 3D planning analysis, we propose new practical guidelines for PCa 2D-RT based on current criteria for risk category and CTV, and PTV definition

How smart is artificial intelligence in organs delineation? Testing a CE and FDA-approved Deep-Learning tool using multiple expert contours delineated on planning CT images

Background: A CE- and FDA-approved cloud-based Deep learning (DL)-tool for automatic organs at risk (OARs) and clinical target volumes segmentation on computer tomography images is available. Before its implementation in the clinical practice, an independent external validation was conducted. Methods: At least a senior and two in training Radiation Oncologists (ROs) manually contoured the volumes of interest (VOIs) for 6 tumoral sites. The auto-segmented contours were retrieved from the DL-tool and, if needed, manually corrected by ROs. The level of ROs satisfaction and the duration of contouring were registered. Relative volume differences, similarity indices, satisfactory grades, and time saved were analyzed using a semi-automatic tool. Results: Seven thousand seven hundred sixty-five VOIs were delineated on the CT images of 111 representative patients. The median (range) time for manual VOIs delineation, DL-based segmentation, and subsequent manual corrections were 25.0 (8.0-115.0), 2.3 (1.2-8) and 10.0 minutes (0.3-46.3), respectively. The overall time for VOIs retrieving and modification was statistically significantly lower than for manual contouring (p<0.001). The DL-tool was generally appreciated by ROs, with 44% of vote 4 (well done) and 43% of vote 5 (very well done), correlated with the saved time (p<0.001). The relative volume differences and similarity indexes suggested a better inter-agreement of manually adjusted DL-based VOIs than manually segmented ones. Conclusions: The application of the DL-tool resulted satisfactory, especially in complex delineation cases, improving the ROs inter-agreement of delineated VOIs and saving time

Carbon monoxide inhalation reduces pulmonary inflammatory response during cardiopulmonary bypass in pigs

BACKGROUND: Cardiopulmonary bypass (CPB) is associated with pulmonary inflammation and dysfunction. This may lead to acute lung injury and acute respiratory distress syndrome with increased morbidity and mortality. The authors hypothesized that inhaled carbon monoxide before initiation of CPB would reduce inflammatory response in the lungs. METHODS: In a porcine model, a beating-heart CPB was used. The animals were either randomized to a control group, to standard CPB, or to CPB plus carbon monoxide. In the latter group, lungs were ventilated with 250 ppm inhaled carbon monoxide in addition to standard ventilation before CPB. Lung tissue samples were obtained at various time points, and pulmonary cytokine levels were determined. RESULTS: Hemodynamic parameters were largely unaffected by CPB or carbon monoxide inhalation. There were no significant differences in cytokine expression in mononuclear cells between the groups throughout the experimental time course. Compared with standard CPB animals, carbon monoxide significantly suppresses tumor necrosis factor-alpha and interleukin-1beta levels (P < 0.05) and induced the antiinflammatory cytokine interleukin 10 (P < 0.001). Carbon monoxide inhalation modulates effector caspase activity in lung tissue during CPB. CONCLUSIONS: The results demonstrate that inhaled carbon monoxide significantly reduces CPB-induced inflammation via suppression of tumor necrosis factor alpha, and interleukin-1beta expression and elevation of interleukin 10. Apoptosis induced by CPB was associated with caspase-3 activation and was significantly attenuated by carbon monoxide treatment. Based on the observations of this study, inhaled carbon monoxide could represent a potential new therapeutic modality for counteracting CPB-induced lung injury