cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11377347.v1
title: MOESM47 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 47: Table S47. Prevalent PD patient distribution, by type of PD fluid and PD vintage, 2017
DOI: 10.6084/m9.figshare.11377335
title: MOESM43 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 43: Table S43. Mean Î²2-MG removal rate in HDF patients, by HDF modality, 2017
DOI: 10.6084/m9.figshare.11377338
title: MOESM44 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 44: Table S44. Trends in the prevalent and incident PD patient counts, 2009â€“2017
DOI: 10.6084/m9.figshare.11377341.v1
title: MOESM45 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 45: Table S45. Prevalent PD patient count, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377329
title: MOESM41 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 41: Table S41. HD · HDF patient distribution, by β2-MG removal rate (%), 2017
DOI: 10.6084/m9.figshare.11377332
title: MOESM42 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 42: Table S42. Mean Î²2-MG removal rate in HD patients, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377326
title: MOESM40 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 40: Table S40. Mean Pre-dialysis Î²2-MG concentration in HDF patients, by HDF modality, 2017
DOI: 10.6084/m9.figshare.11377329.v1
title: MOESM41 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 41: Table S41. HD · HDF patient distribution, by β2-MG removal rate (%), 2017
DOI: 10.6084/m9.figshare.11377335.v1
title: MOESM43 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 43: Table S43. Mean Î²2-MG removal rate in HDF patients, by HDF modality, 2017
DOI: 10.6084/m9.figshare.11377326.v1
title: MOESM40 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 40: Table S40. Mean Pre-dialysis Î²2-MG concentration in HDF patients, by HDF modality, 2017
DOI: 10.6084/m9.figshare.11377338.v1
title: MOESM44 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 44: Table S44. Trends in the prevalent and incident PD patient counts, 2009â€“2017
DOI: 10.6084/m9.figshare.11377323
title: MOESM3 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 3: Table S3. Prevalent dialysis patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377332.v1
title: MOESM42 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 42: Table S42. Mean Î²2-MG removal rate in HD patients, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377314
title: MOESM37 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 37: Table S37. HD HDF patient distribution, by blood flow rate (mL/minutes), 2017
DOI: 10.6084/m9.figshare.11377317
title: MOESM38 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 38: Table S38. HD HDF patient distribution, by pre-dialysis Î²2-MG concentration (mg/L), 2017
DOI: 10.6084/m9.figshare.11377320
title: MOESM39 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 39: Table S39. Mean Pre-dialysis Î²2-MG concentration in HD patients, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377323.v1
title: MOESM3 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 3: Table S3. Prevalent dialysis patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377311
title: MOESM36 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 36: Table S36. HD HDF patient distribution, by dialysis time, 2017
DOI: 10.6084/m9.figshare.11377308
title: MOESM35 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 35: Table S35. HDF patient distribution, by HDF modality and membrane surface area, 2017
DOI: 10.6084/m9.figshare.11377311.v1
title: MOESM36 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 36: Table S36. HD HDF patient distribution, by dialysis time, 2017
DOI: 10.6084/m9.figshare.11377314.v1
title: MOESM37 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 37: Table S37. HD HDF patient distribution, by blood flow rate (mL/minutes), 2017
DOI: 10.6084/m9.figshare.11377320.v1
title: MOESM39 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 39: Table S39. Mean Pre-dialysis Î²2-MG concentration in HD patients, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377302
title: MOESM34 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 34: Table S34. HD HDF patient distribution, by membrane surface area (m2), 2017
DOI: 10.6084/m9.figshare.11377308.v1
title: MOESM35 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 35: Table S35. HDF patient distribution, by HDF modality and membrane surface area, 2017
DOI: 10.6084/m9.figshare.11377317.v1
title: MOESM38 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 38: Table S38. HD HDF patient distribution, by pre-dialysis Î²2-MG concentration (mg/L), 2017
DOI: 10.6084/m9.figshare.11377296
title: MOESM32 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 32: Table S32. HDF patient distribution, by HDF modality and membrane material, 2017
DOI: 10.6084/m9.figshare.11377299
title: MOESM33 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 33: Table S33. HD HDF patient distribution, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377290
title: MOESM30 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 30: Table S30. HDãƒ»HDF patient distribution, by dialysis vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377293
title: MOESM31 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 31: Table S31. HD HDF patient distribution, by membrane material, 2017
DOI: 10.6084/m9.figshare.11377296.v1
title: MOESM32 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 32: Table S32. HDF patient distribution, by HDF modality and membrane material, 2017
DOI: 10.6084/m9.figshare.11377299.v1
title: MOESM33 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 33: Table S33. HD HDF patient distribution, by dialyzer category, 2017
DOI: 10.6084/m9.figshare.11377302.v1
title: MOESM34 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 34: Table S34. HD HDF patient distribution, by membrane surface area (m2), 2017
DOI: 10.6084/m9.figshare.11377284
title: MOESM29 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 29: Table S29. HDãƒ»HDF patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377281
title: MOESM28 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 28: Table S28. HD・HDF patient count, by dialysis modality, 2009–2017
DOI: 10.6084/m9.figshare.11377284.v1
title: MOESM29 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 29: Table S29. HDãƒ»HDF patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377287
title: MOESM2 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 2: Table S2. Trends in the incident and deceased dialysis patient count, 1983â€“2017
DOI: 10.6084/m9.figshare.11377290.v1
title: MOESM30 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 30: Table S30. HDãƒ»HDF patient distribution, by dialysis vintage and sex, 2017
DOI: 10.6084/m9.figshare.11377281.v1
title: MOESM28 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 28: Table S28. HD・HDF patient count, by dialysis modality, 2009–2017
DOI: 10.6084/m9.figshare.11377287.v1
title: MOESM2 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 2: Table S2. Trends in the incident and deceased dialysis patient count, 1983â€“2017
DOI: 10.6084/m9.figshare.11377293.v1
title: MOESM31 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 31: Table S31. HD HDF patient distribution, by membrane material, 2017
DOI: 10.6084/m9.figshare.11377269
title: MOESM25 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 25: Table S25. Facility distribution, by source of dialysis water
DOI: 10.6084/m9.figshare.11377272
title: MOESM26 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 26: Table S26. Facility distribution, by measurement frequency for residual chlorine and measurement method
DOI: 10.6084/m9.figshare.11377275
title: MOESM27 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 27: Table S27. Facility distribution, by awareness of the JSDT standard for chemical contaminants and measurement frequency
DOI: 10.6084/m9.figshare.11377263
title: MOESM23 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 23: Table S23. Facility distribution, by ET concentration and TVC, 2017
DOI: 10.6084/m9.figshare.11377266
title: MOESM24 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 24: Table S24. Trends in facility distribution for achieving UPD and standard dialysis fluid, 2009â€“2017
DOI: 10.6084/m9.figshare.11377269.v1
title: MOESM25 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 25: Table S25. Facility distribution, by source of dialysis water
DOI: 10.6084/m9.figshare.11377272.v1
title: MOESM26 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 26: Table S26. Facility distribution, by measurement frequency for residual chlorine and measurement method
DOI: 10.6084/m9.figshare.11377263.v1
title: MOESM23 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 23: Table S23. Facility distribution, by ET concentration and TVC, 2017
DOI: 10.6084/m9.figshare.11377275.v1
title: MOESM27 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 27: Table S27. Facility distribution, by awareness of the JSDT standard for chemical contaminants and measurement frequency
DOI: 10.6084/m9.figshare.11377254
title: MOESM20 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 20: Table S20. Trends in ET measurement frequency and ET concentration, 2006â€“2017
DOI: 10.6084/m9.figshare.11377260
title: MOESM22 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 22: Table S22. Trends in TVC measurement frequency and TVC, 2006â€“2017
DOI: 10.6084/m9.figshare.11377266.v1
title: MOESM24 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 24: Table S24. Trends in facility distribution for achieving UPD and standard dialysis fluid, 2009â€“2017
DOI: 10.6084/m9.figshare.11377248
title: MOESM19 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 19: Table S19. Facility distribution, by ETmeasurement frequency and ETconcentration, 2017
DOI: 10.6084/m9.figshare.11377254.v1
title: MOESM20 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 20: Table S20. Trends in ET measurement frequency and ET concentration, 2006â€“2017
DOI: 10.6084/m9.figshare.11377257
title: MOESM21 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 21: Table S21. Facility distribution, by TVC measurement frequency and TVC, 2017
DOI: 10.6084/m9.figshare.11377248.v1
title: MOESM19 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 19: Table S19. Facility distribution, by ETmeasurement frequency and ETconcentration, 2017
DOI: 10.6084/m9.figshare.11377251
title: MOESM1 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 1: Table S1. Trends in the prevalent dialysis patient count, 1968–2017 and the adjusted prevalent dialysis patient count (pmp), 1983–2017
DOI: 10.6084/m9.figshare.11377257.v1
title: MOESM21 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 21: Table S21. Facility distribution, by TVC measurement frequency and TVC, 2017
DOI: 10.6084/m9.figshare.11377260.v1
title: MOESM22 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 22: Table S22. Trends in TVC measurement frequency and TVC, 2006â€“2017
DOI: 10.6084/m9.figshare.11377242
title: MOESM17 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 17: Table S17. Incident dialysis patient distribution, by cause of death and sex, 2017
DOI: 10.6084/m9.figshare.11377239
title: MOESM16 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 16: Table S16. Trends in major primary diseases of the incident dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377245
title: MOESM18 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 18: Table S18. Trends in major causes of death during the incident year, 1990â€“2017
DOI: 10.6084/m9.figshare.11377251.v1
title: MOESM1 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 1: Table S1. Trends in the prevalent dialysis patient count, 1968–2017 and the adjusted prevalent dialysis patient count (pmp), 1983–2017
DOI: 10.6084/m9.figshare.11377233
title: MOESM14 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 14: Table S14. Trend in the average age of the incident dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377236
title: MOESM15 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 15: Table S15. Incident dialysis patient distribution, by primary disease and sex, 2017
DOI: 10.6084/m9.figshare.11377242.v1
title: MOESM17 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 17: Table S17. Incident dialysis patient distribution, by cause of death and sex, 2017
DOI: 10.6084/m9.figshare.11377239.v1
title: MOESM16 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 16: Table S16. Trends in major primary diseases of the incident dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377245.v1
title: MOESM18 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 18: Table S18. Trends in major causes of death during the incident year, 1990â€“2017
DOI: 10.6084/m9.figshare.11377233.v1
title: MOESM14 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 14: Table S14. Trend in the average age of the incident dialysis patients, 1983â€“2017
DOI: 10.6084/m9.figshare.11377236.v1
title: MOESM15 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 15: Table S15. Incident dialysis patient distribution, by primary disease and sex, 2017
DOI: 10.6084/m9.figshare.11377227
title: MOESM13 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 13: Table S13. Incident dialysis patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377221
title: MOESM12 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 12: Table S12. Trend in the annual crude death rate, 1983â€“2017
DOI: 10.6084/m9.figshare.11377227.v1
title: MOESM13 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 13: Table S13. Incident dialysis patient distribution, by age and sex, 2017
DOI: 10.6084/m9.figshare.11377215
title: MOESM11 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 11: Table S11. Trends in major causes of death, 1983â€“2017
DOI: 10.6084/m9.figshare.11377221.v1
title: MOESM12 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 12: Table S12. Trend in the annual crude death rate, 1983â€“2017
DOI: 10.6084/m9.figshare.11377209
title: MOESM10 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 10: Table S10. Deceased dialysis patient distribution, by cause of death and sex, 2017
DOI: 10.6084/m9.figshare.11377215.v1
title: MOESM11 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 11: Table S11. Trends in major causes of death, 1983â€“2017
DOI: 10.6084/m9.figshare.11377209.v1
title: MOESM10 of Annual dialysis data report 2017, JSDT Renal Data Registry

description: Additional file 10: Table S10. Deceased dialysis patient distribution, by cause of death and sex, 2017
DOI: 10.6084/m9.figshare.11377161
title: MOESM2 of Crossing fitness valleys via double substitutions within codons

description: Additional file 2. Inference of the mode of selection for different types of double substitutions.
DOI: 10.6084/m9.figshare.11377170
title: MOESM3 of Crossing fitness valleys via double substitutions within codons

description: Additional file 3. Nucleotide sequence alignments constructed for the inference of ancestral states.
DOI: 10.6084/m9.figshare.11377170.v1
title: MOESM3 of Crossing fitness valleys via double substitutions within codons

description: Additional file 3. Nucleotide sequence alignments constructed for the inference of ancestral states.
DOI: 10.6084/m9.figshare.11377161.v1
title: MOESM2 of Crossing fitness valleys via double substitutions within codons

description: Additional file 2. Inference of the mode of selection for different types of double substitutions.
DOI: 10.6084/m9.figshare.11377017
title: MOESM1 of A Nordic survey of CT doses in hybrid PET/CT and SPECT/CT examinations

description: Additional file 1: Data capture booklet requesting information for each examination on scanner type, clinical purpose of CT, protocol settings and patient doses.
DOI: 10.6084/m9.figshare.11377017.v1
title: MOESM1 of A Nordic survey of CT doses in hybrid PET/CT and SPECT/CT examinations

description: Additional file 1: Data capture booklet requesting information for each examination on scanner type, clinical purpose of CT, protocol settings and patient doses.
DOI: 10.6084/m9.figshare.11376969
title: MOESM5 of Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

description: Additional file 5: Table S2. List of LC-MS characteristics (adduct, retention time error, mass error, isotope similarity and best-matched fragment) of annotated ions of interest measured in serum by non-targeted Q-TOF analysis in ESI+ and ESI- mode.
DOI: 10.6084/m9.figshare.11376969.v1
title: MOESM5 of Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

description: Additional file 5: Table S2. List of LC-MS characteristics (adduct, retention time error, mass error, isotope similarity and best-matched fragment) of annotated ions of interest measured in serum by non-targeted Q-TOF analysis in ESI+ and ESI- mode.
DOI: 10.6084/m9.figshare.11376930
title: MOESM1 of Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

description: Additional file 1: Table S1. List of sequences for primers used for RT-qPCR.
DOI: 10.6084/m9.figshare.11376930.v1
title: MOESM1 of Preoperative plasma fatty acid metabolites inform risk of prostate cancer progression and may be used for personalized patient stratification

description: Additional file 1: Table S1. List of sequences for primers used for RT-qPCR.
DOI: 10.6084/m9.figshare.11376780
title: MOESM6 of A self-marker-like protein governs hemocyte allorecognition in Halocynthia roretzi

description: Additional file 6: Table S1. Raw data of PO activity on CR between Hr.1â€“24
DOI: 10.6084/m9.figshare.11376780.v1
title: MOESM6 of A self-marker-like protein governs hemocyte allorecognition in Halocynthia roretzi

description: Additional file 6: Table S1. Raw data of PO activity on CR between Hr.1â€“24
DOI: 10.6084/m9.figshare.11376585
title: MOESM1 of Comparison of different technologies for the decipherment of the whole genome sequence of Campylobacter jejuni BfR-CA-14430

description: Additional file 1: Table S1. Campylobacter jejuni Genomes used to build the Prokka Database
DOI: 10.6084/m9.figshare.11376585.v1
title: MOESM1 of Comparison of different technologies for the decipherment of the whole genome sequence of Campylobacter jejuni BfR-CA-14430

description: Additional file 1: Table S1. Campylobacter jejuni Genomes used to build the Prokka Database
DOI: 10.6084/m9.figshare.11376393
title: Supplementary Material for: NOD-Like Receptor Family Pyrin Domain-Containing 3 Inflammasome Activation Exacerbates 5-Fluorouracil-Induced Small Intestinal Mucositis via Interleukin-1β Activation

description: <b><i>Background and Aim:</i></b> 5-Fluorouracil (5-FU) is an anticancer agent that induces intestinal mucositis, which causes diarrhea and dehydration. The NOD-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome is responsible for inflammatory response activation via caspase-1 cleavage and subsequent interleukin-1β (IL-1β) and IL-18 activation and secretion. The objective of this study was to determine the role of the NLRP3 inflammasome in 5-FU-induced small intestinal mucositis. <b><i>Methods:</i></b> Small intestinal mucositis was induced in wild-type, NLRP3<sup>–/–</sup>, and caspase-1<sup>–/–</sup> mice by intraperitoneal injection of 5-FU. Some mice received intraperitoneal injection of a caspase-1 inhibitor, recombinant IL-1β or IL-18, or neutralizing antibody against IL-1β. <b><i>Results:</i></b> Mice treated with 5-FU developed small intestinal mucositis with diarrhea and body weight loss, characterized by a decrease in villus height and the villus height-to-crypt depth ratio. These histological changes peaked on day 3 and were accompanied by an increase in mRNA expression of NLRP3 and IL-1β and protein expression of cleaved caspase-1 and mature IL-1β. Mature IL-18 protein expression was not affected by 5-FU administration. NLRP3<sup>–/–</sup> mice exhibited less severe 5-FU-induced mucositis, and this phenotype was mimicked by genetic depletion or pharmacological inhibition of caspase-1. Small intestinal mucositis was aggravated by exogenous IL-1β and neutralized by IL-1β antibody treatment. Administration of exogenous IL-18 or anti-IL-18 antibody did not affect any parameters associated with mucositis. NLRP3, cleaved caspase-1, and IL-1β were expressed by inflammatory cells (mainly macrophages) in the lamina propria and damaged epithelial cells. <b><i>Conclusions:</i></b> NLRP3 inflammasome activation may exacerbate 5-FU-induced small intestinal mucositis via IL-1β maturation.