25 results on '"SN Wijesinghe"'
Search Results
2. The Genus Cronartium Revisited
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SN Wijesinghe
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biology ,Genus ,Botany ,Cronartium ,biology.organism_classification - Published
- 2019
3. Ceramothyrium chiangraiense, a novel species of Chaetothyriales (Eurotiomycetes) from Ficus sp. in Thailand
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SN Wijesinghe
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Chaetothyriales ,biology ,Eurotiomycetes ,Botany ,Ficus ,General Medicine ,Ceramothyrium ,biology.organism_classification - Published
- 2019
4. Immunomodulation and fibroblast dynamics driving nociceptive joint pain within inflammatory synovium: Unravelling mechanisms for therapeutic advancements in osteoarthritis.
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Wijesinghe SN, Ditchfield C, Flynn S, Agrawal J, Davis ET, Dajas-Bailador F, Chapman V, and Jones SW
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- Humans, Arthralgia physiopathology, Immunomodulation, Nociceptive Pain physiopathology, Animals, Nociceptors physiology, Fibroblasts metabolism, Osteoarthritis physiopathology, Synovitis, Synovial Membrane
- Abstract
Objective: Synovitis is a widely accepted sign of osteoarthritis (OA), characterised by tissue hyperplasia, where increased infiltration of immune cells and proliferation of resident fibroblasts adopt a pro-inflammatory phenotype, and increased the production of pro-inflammatory mediators that are capable of sensitising and activating sensory nociceptors, which innervate the joint tissues. As such, it is important to understand the cellular composition of synovium and their involvement in pain sensitisation to better inform the development of effective analgesics., Methods: Studies investigating pain sensitisation in OA with a focus on immune cells and fibroblasts were identified using PubMed, Web of Science and SCOPUS., Results: In this review, we comprehensively assess the evidence that cellular crosstalk between resident immune cells or synovial fibroblasts with joint nociceptors in inflamed OA synovium contributes to peripheral pain sensitisation. Moreover, we explore whether the elucidation of common mechanisms identified in similar joint conditions may inform the development of more effective analgesics specifically targeting OA joint pain., Conclusion: The concept of local environment and cellular crosstalk within the inflammatory synovium as a driver of nociceptive joint pain presents a compelling opportunity for future research and therapeutic advancements., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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5. What are the 100 most cited fungal genera?
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Bhunjun CS, Chen YJ, Phukhamsakda C, Boekhout T, Groenewald JZ, McKenzie EHC, Francisco EC, Frisvad JC, Groenewald M, Hurdeal VG, Luangsa-Ard J, Perrone G, Visagie CM, Bai FY, Błaszkowski J, Braun U, de Souza FA, de Queiroz MB, Dutta AK, Gonkhom D, Goto BT, Guarnaccia V, Hagen F, Houbraken J, Lachance MA, Li JJ, Luo KY, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe DN, Wang DQ, Wei DP, Zhao CL, Aiphuk W, Ajayi-Oyetunde O, Arantes TD, Araujo JC, Begerow D, Bakhshi M, Barbosa RN, Behrens FH, Bensch K, Bezerra JDP, Bilański P, Bradley CA, Bubner B, Burgess TI, Buyck B, Čadež N, Cai L, Calaça FJS, Campbell LJ, Chaverri P, Chen YY, Chethana KWT, Coetzee B, Costa MM, Chen Q, Custódio FA, Dai YC, Damm U, Santiago ALCMA, De Miccolis Angelini RM, Dijksterhuis J, Dissanayake AJ, Doilom M, Dong W, Álvarez-Duarte E, Fischer M, Gajanayake AJ, Gené J, Gomdola D, Gomes AAM, Hausner G, He MQ, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena RS, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin CG, Liu JK, Liu XB, Loizides M, Luangharn T, Maharachchikumbura SSN, Mkhwanazi GJM, Manawasinghe IS, Marin-Felix Y, McTaggart AR, Moreau PA, Morozova OV, Mostert L, Osiewacz HD, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips AJL, Phonemany M, Promputtha I, Rathnayaka AR, Rodrigues AM, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe SJ, Scholler M, Scott P, Shivas RG, Silar P, Silva-Filho AGS, Souza-Motta CM, Spies CFJ, Stchigel AM, Sterflinger K, Summerbell RC, Svetasheva TY, Takamatsu S, Theelen B, Theodoro RC, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang XW, Wartchow F, Welti S, Wijesinghe SN, Wu F, Xu R, Yang ZL, Yilmaz N, Yurkov A, Zhao L, Zhao RL, Zhou N, Hyde KD, and Crous PW
- Abstract
The global diversity of fungi has been estimated between 2 to 11 million species, of which only about 155 000 have been named. Most fungi are invisible to the unaided eye, but they represent a major component of biodiversity on our planet, and play essential ecological roles, supporting life as we know it. Although approximately 20 000 fungal genera are presently recognised, the ecology of most remains undetermined. Despite all this diversity, the mycological community actively researches some fungal genera more commonly than others. This poses an interesting question: why have some fungal genera impacted mycology and related fields more than others? To address this issue, we conducted a bibliometric analysis to identify the top 100 most cited fungal genera. A thorough database search of the Web of Science, Google Scholar, and PubMed was performed to establish which genera are most cited. The most cited 10 genera are Saccharomyces , Candida , Aspergillus , Fusarium , Penicillium , Trichoderma , Botrytis , Pichia , Cryptococcus and Alternaria . Case studies are presented for the 100 most cited genera with general background, notes on their ecology and economic significance and important research advances. This paper provides a historic overview of scientific research of these genera and the prospect for further research. Citation: Bhunjun CS, Chen YJ, Phukhamsakda C, Boekhout T, Groenewald JZ, McKenzie EHC, Francisco EC, Frisvad JC, Groenewald M, Hurdeal VG, Luangsa-ard J, Perrone G, Visagie CM, Bai FY, Błaszkowski J, Braun U, de Souza FA, de Queiroz MB, Dutta AK, Gonkhom D, Goto BT, Guarnaccia V, Hagen F, Houbraken J, Lachance MA, Li JJ, Luo KY, Magurno F, Mongkolsamrit S, Robert V, Roy N, Tibpromma S, Wanasinghe DN, Wang DQ, Wei DP, Zhao CL, Aiphuk W, Ajayi-Oyetunde O, Arantes TD, Araujo JC, Begerow D, Bakhshi M, Barbosa RN, Behrens FH, Bensch K, Bezerra JDP, Bilański P, Bradley CA, Bubner B, Burgess TI, Buyck B, Čadež N, Cai L, Calaça FJS, Campbell LJ, Chaverri P, Chen YY, Chethana KWT, Coetzee B, Costa MM, Chen Q, Custódio FA, Dai YC, Damm U, de Azevedo Santiago ALCM, De Miccolis Angelini RM, Dijksterhuis J, Dissanayake AJ, Doilom M, Dong W, Alvarez-Duarte E, Fischer M, Gajanayake AJ, Gené J, Gomdola D, Gomes AAM, Hausner G, He MQ, Hou L, Iturrieta-González I, Jami F, Jankowiak R, Jayawardena RS, Kandemir H, Kiss L, Kobmoo N, Kowalski T, Landi L, Lin CG, Liu JK, Liu XB, Loizides M, Luangharn T, Maharachchikumbura SSN, Makhathini Mkhwanazi GJ, Manawasinghe IS, Marin-Felix Y, McTaggart AR, Moreau PA, Morozova OV, Mostert L, Osiewacz HD, Pem D, Phookamsak R, Pollastro S, Pordel A, Poyntner C, Phillips AJL, Phonemany M, Promputtha I, Rathnayaka AR, Rodrigues AM, Romanazzi G, Rothmann L, Salgado-Salazar C, Sandoval-Denis M, Saupe SJ, Scholler M, Scott P, Shivas RG, Silar P, Souza-Motta CM, Silva-Filho AGS, Spies CFJ, Stchigel AM, Sterflinger K, Summerbell RC, Svetasheva TY, Takamatsu S, Theelen B, Theodoro RC, Thines M, Thongklang N, Torres R, Turchetti B, van den Brule T, Wang XW, Wartchow F, Welti S, Wijesinghe SN, Wu F, Xu R, Yang ZL, Yilmaz N, Yurkov A, Zhao L, Zhao RL, Zhou N, Hyde KD, Crous PW (2024). What are the 100 most cited fungal genera? Studies in Mycology 108 : 1-411. doi: 10.3114/sim.2024.108.01., Competing Interests: The authors declare that there is no conflict of interest., (© 2024 Westerdijk Fungal Biodiversity Institute.)
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- 2024
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6. Airborne DNA reveals predictable spatial and seasonal dynamics of fungi.
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Abrego N, Furneaux B, Hardwick B, Somervuo P, Palorinne I, Aguilar-Trigueros CA, Andrew NR, Babiy UV, Bao T, Bazzano G, Bondarchuk SN, Bonebrake TC, Brennan GL, Bret-Harte S, Bässler C, Cagnolo L, Cameron EK, Chapurlat E, Creer S, D'Acqui LP, de Vere N, Desprez-Loustau ML, Dongmo MAK, Jacobsen IBD, Fisher BL, Flores de Jesus M, Gilbert GS, Griffith GW, Gritsuk AA, Gross A, Grudd H, Halme P, Hanna R, Hansen J, Hansen LH, Hegbe ADMT, Hill S, Hogg ID, Hultman J, Hyde KD, Hynson NA, Ivanova N, Karisto P, Kerdraon D, Knorre A, Krisai-Greilhuber I, Kurhinen J, Kuzmina M, Lecomte N, Lecomte E, Loaiza V, Lundin E, Meire A, Mešić A, Miettinen O, Monkhouse N, Mortimer P, Müller J, Nilsson RH, Nonti PYC, Nordén J, Nordén B, Norros V, Paz C, Pellikka P, Pereira D, Petch G, Pitkänen JM, Popa F, Potter C, Purhonen J, Pätsi S, Rafiq A, Raharinjanahary D, Rakos N, Rathnayaka AR, Raundrup K, Rebriev YA, Rikkinen J, Rogers HMK, Rogovsky A, Rozhkov Y, Runnel K, Saarto A, Savchenko A, Schlegel M, Schmidt NM, Seibold S, Skjøth C, Stengel E, Sutyrina SV, Syvänperä I, Tedersoo L, Timm J, Tipton L, Toju H, Uscka-Perzanowska M, van der Bank M, van der Bank FH, Vandenbrink B, Ventura S, Vignisson SR, Wang X, Weisser WW, Wijesinghe SN, Wright SJ, Yang C, Yorou NS, Young A, Yu DW, Zakharov EV, Hebert PDN, Roslin T, and Ovaskainen O
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- Mycorrhizae genetics, Mycorrhizae classification, Mycorrhizae isolation & purification, Phylogeny, Spores, Fungal classification, Spores, Fungal isolation & purification, Temperature, Tropical Climate, Geographic Mapping, Air Microbiology, Biodiversity, DNA, Fungal analysis, DNA, Fungal genetics, Fungi genetics, Fungi classification, Fungi isolation & purification, Seasons, Spatio-Temporal Analysis
- Abstract
Fungi are among the most diverse and ecologically important kingdoms in life. However, the distributional ranges of fungi remain largely unknown as do the ecological mechanisms that shape their distributions
1,2 . To provide an integrated view of the spatial and seasonal dynamics of fungi, we implemented a globally distributed standardized aerial sampling of fungal spores3 . The vast majority of operational taxonomic units were detected within only one climatic zone, and the spatiotemporal patterns of species richness and community composition were mostly explained by annual mean air temperature. Tropical regions hosted the highest fungal diversity except for lichenized, ericoid mycorrhizal and ectomycorrhizal fungi, which reached their peak diversity in temperate regions. The sensitivity in climatic responses was associated with phylogenetic relatedness, suggesting that large-scale distributions of some fungal groups are partially constrained by their ancestral niche. There was a strong phylogenetic signal in seasonal sensitivity, suggesting that some groups of fungi have retained their ancestral trait of sporulating for only a short period. Overall, our results show that the hyperdiverse kingdom of fungi follows globally highly predictable spatial and temporal dynamics, with seasonality in both species richness and community composition increasing with latitude. Our study reports patterns resembling those described for other major groups of organisms, thus making a major contribution to the long-standing debate on whether organisms with a microbial lifestyle follow the global biodiversity paradigms known for macroorganisms4,5 ., (© 2024. The Author(s).)- Published
- 2024
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7. Cross-species transcriptomics identifies obesity associated genes between human and mouse studies.
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Acharjee A, Wijesinghe SN, Russ D, Gkoutos G, and Jones SW
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- Humans, Animals, Mice, Species Specificity, Gene Expression Profiling, Principal Component Analysis, Machine Learning, Gene Expression Regulation, Male, Female, Obesity genetics, Obesity complications, Obesity metabolism, Transcriptome genetics
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Background: Fundamentally defined by an imbalance in energy consumption and energy expenditure, obesity is a significant risk factor of several musculoskeletal conditions including osteoarthritis (OA). High-fat diets and sedentary lifestyle leads to increased adiposity resulting in systemic inflammation due to the endocrine properties of adipose tissue producing inflammatory cytokines and adipokines. We previously showed serum levels of specific adipokines are associated with biomarkers of bone remodelling and cartilage volume loss in knee OA patients. Whilst more recently we find the metabolic consequence of obesity drives the enrichment of pro-inflammatory fibroblast subsets within joint synovial tissues in obese individuals compared to those of BMI defined 'health weight'. As such this present study identifies obesity-associated genes in OA joint tissues which are conserved across species and conditions., Methods: The study utilised 6 publicly available bulk and single-cell transcriptomic datasets from human and mice studies downloaded from Gene Expression Omnibus (GEO). Machine learning models were employed to model and statistically test datasets for conserved gene expression profiles. Identified genes were validated in OA tissues from obese and healthy weight individuals using quantitative PCR method (N = 38). Obese and healthy-weight patients were categorised by BMI > 30 and BMI between 18 and 24.9 respectively. Informed consent was obtained from all study participants who were scheduled to undergo elective arthroplasty., Results: Principal component analysis (PCA) was used to investigate the variations between classes of mouse and human data which confirmed variation between obese and healthy populations. Differential gene expression analysis filtered on adjusted p-values of p < 0.05, identified differentially expressed genes (DEGs) in mouse and human datasets. DEGs were analysed further using area under curve (AUC) which identified 12 genes. Pathway enrichment analysis suggests these genes were involved in the biosynthesis and elongation of fatty acids and the transport, oxidation, and catabolic processing of lipids. qPCR validation found the majority of genes showed a tendency to be upregulated in joint tissues from obese participants. Three validated genes, IGFBP2 (p = 0.0363), DOK6 (0.0451) and CASP1 (0.0412) were found to be significantly different in obese joint tissues compared to lean-weight joint tissues., Conclusions: The present study has employed machine learning models across several published obesity datasets to identify obesity-associated genes which are validated in joint tissues from OA. These results suggest obesity-associated genes are conserved across conditions and may be fundamental in accelerating disease in obese individuals. Whilst further validations and additional conditions remain to be tested in this model, identifying obesity-associated genes in this way may serve as a global aid for patient stratification giving rise to the potential of targeted therapeutic interventions in such patient subpopulations., (© 2024. The Author(s).)
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- 2024
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8. Global Spore Sampling Project: A global, standardized dataset of airborne fungal DNA.
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Ovaskainen O, Abrego N, Furneaux B, Hardwick B, Somervuo P, Palorinne I, Andrew NR, Babiy UV, Bao T, Bazzano G, Bondarchuk SN, Bonebrake TC, Brennan GL, Bret-Harte S, Bässler C, Cagnolo L, Cameron EK, Chapurlat E, Creer S, D'Acqui LP, de Vere N, Desprez-Loustau ML, Dongmo MAK, Dyrholm Jacobsen IB, Fisher BL, Flores de Jesus M, Gilbert GS, Griffith GW, Gritsuk AA, Gross A, Grudd H, Halme P, Hanna R, Hansen J, Hansen LH, Hegbe ADMT, Hill S, Hogg ID, Hultman J, Hyde KD, Hynson NA, Ivanova N, Karisto P, Kerdraon D, Knorre A, Krisai-Greilhuber I, Kurhinen J, Kuzmina M, Lecomte N, Lecomte E, Loaiza V, Lundin E, Meire A, Mešić A, Miettinen O, Monkhause N, Mortimer P, Müller J, Nilsson RH, Nonti PYC, Nordén J, Nordén B, Paz C, Pellikka P, Pereira D, Petch G, Pitkänen JM, Popa F, Potter C, Purhonen J, Pätsi S, Rafiq A, Raharinjanahary D, Rakos N, Rathnayaka AR, Raundrup K, Rebriev YA, Rikkinen J, Rogers HMK, Rogovsky A, Rozhkov Y, Runnel K, Saarto A, Savchenko A, Schlegel M, Schmidt NM, Seibold S, Skjøth C, Stengel E, Sutyrina SV, Syvänperä I, Tedersoo L, Timm J, Tipton L, Toju H, Uscka-Perzanowska M, van der Bank M, Herman van der Bank F, Vandenbrink B, Ventura S, Vignisson SR, Wang X, Weisser WW, Wijesinghe SN, Joseph Wright S, Yang C, Yorou NS, Young A, Yu DW, Zakharov EV, Hebert PDN, and Roslin T
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- Fungi genetics, Fungi classification, Biodiversity, Air Microbiology, Spores, Fungal, DNA, Fungal analysis
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Novel methods for sampling and characterizing biodiversity hold great promise for re-evaluating patterns of life across the planet. The sampling of airborne spores with a cyclone sampler, and the sequencing of their DNA, have been suggested as an efficient and well-calibrated tool for surveying fungal diversity across various environments. Here we present data originating from the Global Spore Sampling Project, comprising 2,768 samples collected during two years at 47 outdoor locations across the world. Each sample represents fungal DNA extracted from 24 m
3 of air. We applied a conservative bioinformatics pipeline that filtered out sequences that did not show strong evidence of representing a fungal species. The pipeline yielded 27,954 species-level operational taxonomic units (OTUs). Each OTU is accompanied by a probabilistic taxonomic classification, validated through comparison with expert evaluations. To examine the potential of the data for ecological analyses, we partitioned the variation in species distributions into spatial and seasonal components, showing a strong effect of the annual mean temperature on community composition., (© 2024. The Author(s).)- Published
- 2024
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9. Obesity defined molecular endotypes in the synovium of patients with osteoarthritis provides a rationale for therapeutic targeting of fibroblast subsets.
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Wijesinghe SN, Badoume A, Nanus DE, Sharma-Oates A, Farah H, Certo M, Alnajjar F, Davis ET, Mauro C, Lindsay MA, and Jones SW
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- Humans, Synovial Membrane metabolism, Synovial Membrane pathology, Obesity genetics, Obesity metabolism, Fibroblasts metabolism, Proteomics, Osteoarthritis metabolism, Osteoarthritis pathology
- Abstract
Background: Osteoarthritis (OA), a multifaceted condition, poses a significant challenge for the successful clinical development of therapeutics due to heterogeneity. However, classifying molecular endotypes of OA pathogenesis could provide invaluable phenotype-directed routes for stratifying subgroups of patients for targeted therapeutics, leading to greater chances of success in trials. This study establishes endotypes in OA soft joint tissue driven by obesity in both load-bearing and non-load bearing joints., Methods: Hand, hip, knee and foot joint synovial tissue was obtained from OA patients (n = 32) classified as obese (BMI > 30) or normal weight (BMI 18.5-24.9). Isolated fibroblasts (OA SF) were assayed by Olink proteomic panel, seahorse metabolic flux assay, Illumina's NextSeq 500 bulk and Chromium 10X single cell RNA-sequencing, validated by Luminex and immunofluorescence., Results: Targeted proteomic, metabolic and transcriptomic analysis found the inflammatory landscape of OA SFs are independently impacted by obesity, joint loading and anatomical site with significant heterogeneity between obese and normal weight patients, confirmed by bulk RNAseq. Further investigation by single cell RNAseq identified four functional molecular endotypes including obesity specific subsets defined by an inflammatory endotype related to immune cell regulation, fibroblast activation and inflammatory signaling, with up-regulated CXCL12, CFD and CHI3L1 expression. Luminex confirmed elevated chitase3-like-1(229.5 vs. 49.5 ng/ml, p < .05) and inhibin (20.6 vs. 63.8 pg/ml, p < .05) in obese and normal weight OA SFs, respectively. Lastly, we find SF subsets in obese patients spatially localise in sublining and lining layers of OA synovium and can be distinguished by differential expression of the transcriptional regulators MYC and FOS., Conclusion: These findings demonstrate the significance of obesity in changing the inflammatory landscape of synovial fibroblasts in both load bearing and non-load bearing joints. Describing multiple heterogeneous OA SF populations characterised by specific molecular endotypes, which drive heterogeneity in OA disease pathogenesis. These molecular endotypes may provide a route for the stratification of patients in clinical trials, providing a rational for the therapeutic targeting of specific SF subsets in specific patient populations with arthritic conditions., (© 2023 The Authors. Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.)
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- 2023
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10. Cladosporium Species Associated with Fruit Trees in Guizhou Province, China.
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Yang Y, Luo W, Zhang W, Mridha MAU, Wijesinghe SN, McKenzie EHC, and Wang Y
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During an investigation of fungal diversity on fruit trees in Guizhou Province, 23 Cladosporium strains were isolated from various locations in Guizhou Province. Culture characteristics, morphology and molecular phylogenetic analysis of three genetic markers, namely, the internal transcribed spacer regions (ITS) of the rDNA, partial fragments of actin ( act ), and the translation elongation factor 1-α ( tef 1-ɑ) loci were used to characterize these isolates. Seven new Cladosporium species and new host records for five other species were introduced, with detailed descriptions and illustrations. This study showed that there is a rich diversity of Cladosporium spp. in fruit trees in Guizhou Province., Competing Interests: The authors declare that they have no competing interests.
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- 2023
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11. Oligonucleotide Therapeutics for Age-Related Musculoskeletal Disorders: Successes and Challenges.
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Nicholson TA, Sagmeister M, Wijesinghe SN, Farah H, Hardy RS, and Jones SW
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Age-related disorders of the musculoskeletal system including sarcopenia, osteoporosis and arthritis represent some of the most common chronic conditions worldwide, for which there remains a great clinical need to develop safer and more efficacious pharmacological treatments. Collectively, these conditions involve multiple tissues, including skeletal muscle, bone, articular cartilage and the synovium within the joint lining. In this review, we discuss the potential for oligonucleotide therapies to combat the unmet clinical need in musculoskeletal disorders by evaluating the successes of oligonucleotides to modify candidate pathological gene targets and cellular processes in relevant tissues and cells of the musculoskeletal system. Further, we discuss the challenges that remain for the clinical development of oligonucleotides therapies for musculoskeletal disorders and evaluate some of the current approaches to overcome these.
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- 2023
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12. The role of extracellular vesicle miRNAs and tRNAs in synovial fibroblast senescence.
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Wijesinghe SN, Anderson J, Brown TJ, Nanus DE, Housmans B, Green JA, Hackl M, Choi KK, Arkill KP, Welting T, James V, Jones SW, and Peffers MJ
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Extracellular vesicles are mediators of intercellular communication with critical roles in cellular senescence and ageing. In arthritis, senescence is linked to the activation of a pro-inflammatory phenotype contributing to chronic arthritis pathogenesis. We hypothesised that senescent osteoarthritic synovial fibroblasts induce senescence and a pro-inflammatory phenotype in non-senescent osteoarthritic fibroblasts, mediated through extracellular vesicle cargo. Small RNA-sequencing and mass spectrometry proteomics were performed on extracellular vesicles isolated from the secretome of non-senescent and irradiation-induced senescent synovial fibroblasts. β-galactosidase staining confirmed senescence in SFs. RNA sequencing identified 17 differentially expressed miRNAs, 11 lncRNAs, 14 tRNAs and one snoRNA and, 21 differentially abundant proteins were identified by mass spectrometry. Bioinformatics analysis of miRNAs identified fibrosis, cell proliferation, autophagy, and cell cycle as significant pathways, tRNA analysis was enriched for signaling pathways including FGF, PI3K/AKT and MAPK, whilst protein analysis identified PAX3-FOXO1, MYC and TFGB1 as enriched upstream regulators involved in senescence and cell cycle arrest. Finally, treatment of non-senescent synovial fibroblasts with senescent extracellular vesicles confirmed the bystander effect, inducing senescence in non-senescent cells potentially through down regulation of NF-κβ and cAMP response element signaling pathways thus supporting our hypothesis. Understanding the exact composition of EV-derived small RNAs of senescent cells in this way will inform our understanding of their roles in inflammation, intercellular communication, and as active molecules in the senescence bystander effect., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Wijesinghe, Anderson, Brown, Nanus, Housmans, Green, Hackl, Choi, Arkill, Welting, James, Jones and Peffers.)
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- 2022
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13. Differential Metabotypes in Synovial Fibroblasts and Synovial Fluid in Hip Osteoarthritis Patients Support Inflammatory Responses.
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Farah H, Wijesinghe SN, Nicholson T, Alnajjar F, Certo M, Alghamdi A, Davis ET, Young SP, Mauro C, and Jones SW
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- Cells, Cultured, Fibroblasts metabolism, Glutamic Acid metabolism, Glutamine metabolism, Humans, Lactic Acid metabolism, Obesity metabolism, Synovial Fluid metabolism, Synovial Membrane pathology, Tumor Necrosis Factor-alpha metabolism, Osteoarthritis, Hip pathology
- Abstract
Changes in cellular metabolism have been implicated in mediating the activated fibroblast phenotype in a number of chronic inflammatory disorders, including pulmonary fibrosis, renal disease and rheumatoid arthritis. The aim of this study was therefore to characterise the metabolic profile of synovial joint fluid and synovial fibroblasts under both basal and inflammatory conditions in a cohort of obese and normal-weight hip OA patients. Furthermore, we sought to ascertain whether modulation of a metabolic pathway in OA synovial fibroblasts could alter their inflammatory activity. Synovium and synovial fluid was obtained from hip OA patients, who were either of normal-weight or obese and were undergoing elective joint replacement surgery. The synovial fluid metabolome was determined by 1H NMR spectroscopy. The metabolic profile of isolated synovial fibroblasts in vitro was characterised by lactate secretion, oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) using the Seahorse XF Analyser. The effects of a small molecule pharmacological inhibitor and siRNA targeted at glutaminase-1 (GLS1) were assessed to probe the role of glutamine metabolism in OA synovial fibroblast function. Obese OA patient synovial fluid (n = 5) exhibited a different metabotype, compared to normal-weight patient fluid (n = 6), with significantly increased levels of 1, 3-dimethylurate, N-Nitrosodimethylamine, succinate, tyrosine, pyruvate, glucose, glycine and lactate, and enrichment of the glutamine-glutamate metabolic pathway, which correlated with increasing adiposity. In vitro, isolated obese OA fibroblasts exhibited greater basal lactate secretion and aerobic glycolysis, and increased mitochondrial respiration when stimulated with pro-inflammatory cytokine TNFα, compared to fibroblasts from normal-weight patients. Inhibition of GLS1 attenuated the TNFα-induced expression and secretion of IL-6 in OA synovial fibroblasts. These findings suggest that altered cellular metabolism underpins the inflammatory phenotype of OA fibroblasts, and that targeted inhibition of glutamine-glutamate metabolism may provide a route to reducing the pathological effects of joint inflammation in OA patients who are obese.
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- 2022
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14. Long Non-coding RNAs in Rheumatology.
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Wijesinghe SN, Lindsay MA, and Jones SW
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- Apoptosis genetics, Humans, Arthritis, Rheumatoid genetics, Lupus Erythematosus, Systemic genetics, RNA, Long Noncoding genetics, Rheumatology
- Abstract
The last decade has seen an enormous increase in long non-coding RNA (lncRNA) research within rheumatology. LncRNAs are arbitrarily classed as non-protein encoding RNA transcripts that exceed 200 nucleotides in length. These transcripts have tissue and cell specific patterns of expression and are implicated in a variety of biological processes. Unsurprisingly, numerous lncRNAs are dysregulated in rheumatoid conditions, correlating with disease activity and cited as potential biomarkers and targets for therapeutic intervention. In this chapter, following an introduction into each condition, we discuss the lncRNAs involved in rheumatoid arthritis, osteoarthritis and systemic lupus erythematosus. These inflammatory joint conditions share several inflammatory signalling pathways and therefore not surprisingly many commonly dysregulated lncRNAs are shared across these conditions. In the interest of translational research only those lncRNAs which are strongly conserved have been addressed. The lncRNAs discussed here have diverse roles in regulating inflammation, proliferation, migration, invasion and apoptosis. Understanding the molecular basis of lncRNA function in rheumatology will be crucial in fully determining the inflammatory mechanisms that drive these conditions., (© 2022. Springer Nature Switzerland AG.)
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- 2022
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15. Fungal diversity notes 1512-1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa.
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Jayawardena RS, Hyde KD, Wang S, Sun YR, Suwannarach N, Sysouphanthong P, Abdel-Wahab MA, Abdel-Aziz FA, Abeywickrama PD, Abreu VP, Armand A, Aptroot A, Bao DF, Begerow D, Bellanger JM, Bezerra JDP, Bundhun D, Calabon MS, Cao T, Cantillo T, Carvalho JLVR, Chaiwan N, Chen CC, Courtecuisse R, Cui BK, Damm U, Denchev CM, Denchev TT, Deng CY, Devadatha B, de Silva NI, Dos Santos LA, Dubey NK, Dumez S, Ferdinandez HS, Firmino AL, Gafforov Y, Gajanayake AJ, Gomdola D, Gunaseelan S, Shucheng-He, Htet ZH, Kaliyaperumal M, Kemler M, Kezo K, Kularathnage ND, Leonardi M, Li JP, Liao C, Liu S, Loizides M, Luangharn T, Ma J, Madrid H, Mahadevakumar S, Maharachchikumbura SSN, Manamgoda DS, Martín MP, Mekala N, Moreau PA, Mu YH, Pahoua P, Pem D, Pereira OL, Phonrob W, Phukhamsakda C, Raza M, Ren GC, Rinaldi AC, Rossi W, Samarakoon BC, Samarakoon MC, Sarma VV, Senanayake IC, Singh A, Souza MF, Souza-Motta CM, Spielmann AA, Su W, Tang X, Tian X, Thambugala KM, Thongklang N, Tennakoon DS, Wannathes N, Wei D, Welti S, Wijesinghe SN, Yang H, Yang Y, Yuan HS, Zhang H, Zhang J, Balasuriya A, Bhunjun CS, Bulgakov TS, Cai L, Camporesi E, Chomnunti P, Deepika YS, Doilom M, Duan WJ, Han SL, Huanraluek N, Jones EBG, Lakshmidevi N, Li Y, Lumyong S, Luo ZL, Khuna S, Kumla J, Manawasinghe IS, Mapook A, Punyaboon W, Tibpromma S, Lu YZ, Yan J, and Wang Y
- Abstract
This article is the 14th in the Fungal Diversity Notes series, wherein we report 98 taxa distributed in two phyla, seven classes, 26 orders and 50 families which are described and illustrated. Taxa in this study were collected from Australia, Brazil, Burkina Faso, Chile, China, Cyprus, Egypt, France, French Guiana, India, Indonesia, Italy, Laos, Mexico, Russia, Sri Lanka, Thailand, and Vietnam. There are 59 new taxa, 39 new hosts and new geographical distributions with one new combination. The 59 new species comprise Angustimassarina kunmingense , Asterina lopi , Asterina brigadeirensis , Bartalinia bidenticola , Bartalinia caryotae , Buellia pruinocalcarea , Coltricia insularis , Colletotrichum flexuosum , Colletotrichum thasutense , Coniochaeta caraganae , Coniothyrium yuccicola , Dematipyriforma aquatic , Dematipyriforma globispora , Dematipyriforma nilotica , Distoseptispora bambusicola , Fulvifomes jawadhuvensis , Fulvifomes malaiyanurensis , Fulvifomes thiruvannamalaiensis , Fusarium purpurea , Gerronema atrovirens , Gerronema flavum , Gerronema keralense , Gerronema kuruvense , Grammothele taiwanensis , Hongkongmyces changchunensis , Hypoxylon inaequale , Kirschsteiniothelia acutisporum , Kirschsteiniothelia crustaceum , Kirschsteiniothelia extensum , Kirschsteiniothelia septemseptatum , Kirschsteiniothelia spatiosum , Lecanora immersocalcarea , Lepiota subthailandica , Lindgomyces guizhouensis , Marthe asmius pallidoaurantiacus , Marasmius tangerinus , Neovaginatispora mangiferae , Pararamichloridium aquisubtropicum , Pestalotiopsis piraubensis , Phacidium chinaum , Phaeoisaria goiasensis , Phaeoseptum thailandicum , Pleurothecium aquisubtropicum , Pseudocercospora vernoniae , Pyrenophora verruculosa , Rhachomyces cruralis , Rhachomyces hyperommae , Rhachomyces magrinii , Rhachomyces platyprosophi , Rhizomarasmius cunninghamietorum , Skeletocutis cangshanensis , Skeletocutis subchrysella , Sporisorium anadelphiae-leptocomae , Tetraploa dashaoensis , Tomentella exiguelata , Tomentella fuscoaraneosa , Tricholomopsis lechatii , Vaginatispora flavispora and Wetmoreana blastidiocalcarea . The new combination is Torula sundara . The 39 new records on hosts and geographical distribution comprise Apiospora guiyangensis , Aplosporella artocarpi , Ascochyta medicaginicola , Astrocystis bambusicola , Athelia rolfsii , Bambusicola bambusae , Bipolaris luttrellii , Botryosphaeria dothidea , Chlorophyllum squamulosum , Colletotrichum aeschynomenes , Colletotrichum pandanicola , Coprinopsis cinerea , Corylicola italica , Curvularia alcornii , Curvularia senegalensis , Diaporthe foeniculina , Diaporthe longicolla , Diaporthe phaseolorum , Diatrypella quercina , Fusarium brachygibbosum , Helicoma aquaticum , Lepiota metulispora , Lepiota pongduadensis , Lepiota subvenenata , Melanconiella meridionalis , Monotosporella erecta , Nodulosphaeria digitalis , Palmiascoma gregariascomum , Periconia byssoides , Periconia cortaderiae , Pleopunctum ellipsoideum , Psilocybe keralensis , Scedosporium apiospermum , Scedosporium dehoogii , Scedosporium marina , Spegazzinia deightonii , Torula fici , Wiesneriomyces laurinus and Xylaria venosula . All these taxa are supported by morphological and multigene phylogenetic analyses. This article allows the researchers to publish fungal collections which are important for future studies. An updated, accurate and timely report of fungus-host and fungus-geography is important. We also provide an updated list of fungal taxa published in the previous fungal diversity notes. In this list, erroneous taxa and synonyms are marked and corrected accordingly., Competing Interests: Conflict of interestAuthors declare that they have no conflict of interest., (© The Author(s) under exclusive licence to Mushroom Research Foundation 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)
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- 2022
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16. Synovial tissue from sites of joint pain in knee osteoarthritis patients exhibits a differential phenotype with distinct fibroblast subsets.
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Nanus DE, Badoume A, Wijesinghe SN, Halsey AM, Hurley P, Ahmed Z, Botchu R, Davis ET, Lindsay MA, and Jones SW
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- Aged, Female, Humans, Inflammation pathology, Male, Middle Aged, Pain pathology, Pain Measurement methods, Phenotype, Secretome physiology, Severity of Illness Index, Synovial Membrane pathology, Synovitis pathology, Arthralgia pathology, Fibroblasts pathology, Knee Joint pathology, Osteoarthritis, Knee pathology
- Abstract
Background: Synovial inflammation is associated with pain severity in patients with knee osteoarthritis (OA). The aim here was to determine in a population with knee OA, whether synovial tissue from areas associated with pain exhibited different synovial fibroblast subsets, compared to synovial tissue from sites not associated with pain. A further aim was to compare differences between early and end-stage disease synovial fibroblast subsets., Methods: Patients with early knee OA (n = 29) and end-stage knee OA (n = 22) were recruited. Patient reported pain was recorded by questionnaire and using an anatomical knee pain map. Proton density fat suppressed MRI axial and sagittal sequences were analysed and scored for synovitis. Synovial tissue was obtained from the medial and lateral parapatellar and suprapatellar sites. Fibroblast single cell RNA sequencing was performed using Chromium 10X and analysed using Seurat. Transcriptomes were functionally characterised using Ingenuity Pathway Analysis and the effect of fibroblast secretome on neuronal growth assessed using rat DRGN., Findings: Parapatellar synovitis was significantly associated with the pattern of patient-reported pain in knee OA patients. Synovial tissue from sites of patient-reported pain exhibited a differential transcriptomic phenotype, with distinct synovial fibroblast subsets in early OA and end-stage OA. Functional pathway analysis revealed that synovial tissue and fibroblast subsets from painful sites promoted fibrosis, inflammation and the growth and activity of neurons. The secretome of fibroblasts from early OA painful sites induced greater survival and neurite outgrowth in dissociated adult rodent dorsal root ganglion neurons., Interpretation: Sites of patient-reported pain in knee OA exhibit a different synovial tissue phenotype and distinct synovial fibroblast subsets. Further interrogation of these fibroblast pathotypes will increase our understanding of the role of synovitis in OA joint pain and provide a rationale for the therapeutic targeting of fibroblast subsets to alleviate pain in patients., Funding: This study was funded by Versus Arthritis, UK (21530; 21812)., Competing Interests: Declaration of Competing Interest SWJ declares grant funding from Versus Arthritis during the course of this study., (Copyright © 2021 The Author(s). Published by Elsevier B.V. All rights reserved.)
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- 2021
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17. Oligonucleotide Therapies in the Treatment of Arthritis: A Narrative Review.
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Wijesinghe SN, Lindsay MA, and Jones SW
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Osteoarthritis (OA) and rheumatoid arthritis (RA) are two of the most common chronic inflammatory joint diseases, for which there remains a great clinical need to develop safer and more efficacious pharmacological treatments. The pathology of both OA and RA involves multiple tissues within the joint, including the synovial joint lining and the bone, as well as the articular cartilage in OA. In this review, we discuss the potential for the development of oligonucleotide therapies for these disorders by examining the evidence that oligonucleotides can modulate the key cellular pathways that drive the pathology of the inflammatory diseased joint pathology, as well as evidence in preclinical in vivo models that oligonucleotides can modify disease progression.
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- 2021
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18. The Expression and Function of Metastases Associated Lung Adenocarcinoma Transcript-1 Long Non-Coding RNA in Subchondral Bone and Osteoblasts from Patients with Osteoarthritis.
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Alnajjar FA, Sharma-Oates A, Wijesinghe SN, Farah H, Nanus DE, Nicholson T, Davis ET, and Jones SW
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- Aged, Calcification, Physiologic genetics, Cytokines blood, Dinoprostone metabolism, Female, Humans, Male, Middle Aged, Osteoarthritis blood, Osteoprotegerin metabolism, RNA, Long Noncoding metabolism, Severity of Illness Index, Transcriptome genetics, Bone and Bones metabolism, Gene Expression Regulation, Osteoarthritis genetics, Osteoblasts metabolism, RNA, Long Noncoding genetics
- Abstract
Metastasis Associated Lung Adenocarcinoma Transcript-1 (MALAT1) is implicated in regulating the inflammatory response and in the pathology of several chronic inflammatory diseases, including osteoarthritis (OA). The purpose of this study was to examine the relationship between OA subchondral bone expression of MALAT1 with parameters of joint health and biomarkers of joint inflammation, and to determine its functional role in human OA osteoblasts. Subchondral bone and blood were collected from hip and knee OA patients ( n = 17) and bone only from neck of femur fracture patients ( n = 6) undergoing joint replacement surgery. Cytokines were determined by multiplex assays and ELISA, and gene expression by qPCR. MALAT1 loss of function was performed in OA patient osteoblasts using locked nucleic acids. The osteoblast transcriptome was analysed by RNASeq and pathway analysis. Bone expression of MALAT1 positively correlated to serum DKK1 and galectin-1 concentrations, and in OA patient osteoblasts was induced in response to IL-1β stimulation. Osteoblasts depleted of MALAT1 exhibited differential expression (>1.5 fold change) of 155 genes, including PTGS2. Both basal and IL-1β-mediated PGE2 secretion was greater in MALAT1 depleted osteoblasts. The induction of MALAT1 in human OA osteoblasts upon inflammatory challenge and its modulation of PGE2 production suggests that MALAT1 may play a role in regulating inflammation in OA subchondral bone.
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- 2021
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19. Involvements of long noncoding RNAs in obesity-associated inflammatory diseases.
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Wijesinghe SN, Nicholson T, Tsintzas K, and Jones SW
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- Humans, Obesity complications, Obesity genetics, Arthritis, Rheumatoid genetics, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 genetics, Insulin Resistance genetics, RNA, Long Noncoding genetics
- Abstract
Obesity is associated with chronic low-grade inflammation that affects the phenotype of multiple tissues and therefore is implicated in the development and progression of several age-related chronic inflammatory disorders. Importantly, a new family of noncoding RNAs, termed long noncoding RNAs (lncRNAs), have been identified as key regulators of inflammatory signalling pathways that can mediate both pretranscriptional and posttranscriptional gene regulation. Furthermore, several lncRNAs have been identified, which are differentially expressed in multiple tissue types in individuals who are obese or in preclinical models of obesity. In this review, we examine the evidence for the role of several of the most well-studied lncRNAs in the regulation of inflammatory pathways associated with obesity. We highlight the evidence for their differential expression in the obese state and in age-related conditions including insulin resistance, type 2 diabetes (T2D), sarcopenia, osteoarthritis and rheumatoid arthritis, where obesity plays a significant role. Determining the expression and functional role of lncRNAs in mediating obesity-associated chronic inflammation will advance our understanding of the epigenetic regulatory pathways that underlie age-related inflammatory diseases and may also ultimately identify new targets for therapeutic intervention., (© 2020 The Authors. Obesity Reviews published by John Wiley & Sons Ltd on behalf of World Obesity Federation.)
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- 2021
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20. Additions to Italian Pleosporinae, including Italica heraclei sp. nov.
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Wijesinghe SN, Wang Y, Zucconi L, Dayarathne MC, Boonmee S, Camporesi E, Wanasinghe DN, and Hyde KD
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Background: In the last few years, many microfungi-including plant-associated species-have been reported from various habitats and substrates in Italy. In this study of pleosporalean fungi, we researched terrestrial habitats in the Provinces of Arezzo (Tuscany region), Forlì-Cesena and Ravenna (Emilia-Romagna region) in Italy., New Information: Our research on Italian pleosporalean fungi resulted in the discovery of a new species, Italica heraclei (Phaeosphaeriaceae). In addition, we present a new host record for Pseudoophiobolus mathieui (Phaeosphaeriaceae) and the second Italian record of Phomatodes nebulosa (Didymellaceae). Species boundaries were defined, based on morphological study and multi-locus phylogenetic reconstructions using Maximum Likelihood and Bayesian Inference analyses. Our findings expand the knowledge on host and distribution ranges of pleosporalean fungi in Italy., (Subodini N. Wijesinghe, Yong Wang, Laura Zucconi, Monika C. Dayarathne, Saranyaphat Boonmee, Erio Camporesi, Dhanushka N. Wanasinghe, Kevin D. Hyde.)
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- 2021
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21. Novel gene variants in patients with platelet-based bleeding using combined exome sequencing and RNAseq murine expression data.
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Khan AO, Stapley RJ, Pike JA, Wijesinghe SN, Reyat JS, Almazni I, Machlus KR, and Morgan NV
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- Animals, Hemorrhage genetics, Humans, Mice, Mutation, Exome Sequencing, Blood Platelets, Exome
- Abstract
Essentials Identifying genetic variants in platelet disorders is challenging due to its heterogenous nature. We combine WES, RNAseq, and python-based bioinformatics to identify novel gene variants. We find novel candidates in patient data by cross-referencing against a murine RNAseq model of thrombopoiesis. This innovative combined bioinformatic approach provides novel data for future research in the field. ABSTRACT: Background The UK Genotyping and Phenotyping of Platelets study has recruited and analyzed 129 patients with suspected heritable bleeding. Previously, 55 individuals had a definitive genetic diagnosis based on whole exome sequencing (WES) and platelet morphological and functional testing. A significant challenge in this field is defining filtering criteria to identify the most likely candidate mutations for diagnosis and further study. Objective Identify candidate gene mutations for the remaining 74 patients with platelet-based bleeding with unknown genetic cause, forming the basis of future re-recruitment and further functional testing and assessment. Methods Using python-based data frame indexing, we first identify and filter all novel and rare variants using a panel of 116 genes known to cause bleeding across the full cohort of WES data. This identified new variants not previously reported in this cohort. We then index the remaining patients, with rare or novel variants in known bleeding genes against a murine RNA sequencing dataset that models proplatelet-forming megakaryocytes. Results Filtering against known genes identified candidate variants in 59 individuals, including novel variants in several known genes. In the remaining cohort of "unknown" patients, indexing against differentially expressed genes revealed candidate gene variants in several novel unreported genes, focusing on 14 patients with a severe clinical presentation. Conclusions We identified candidate mutations in a cohort of patients with no previous genetic diagnosis. This work involves innovative coupling of RNA sequencing and WES to identify candidate variants forming the basis of future study in a significant number of undiagnosed patients., (© 2020 The Authors. Journal of Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and Haemostasis.)
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- 2021
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22. Fungal diversity notes 1387-1511: taxonomic and phylogenetic contributions on genera and species of fungal taxa.
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Boonmee S, Wanasinghe DN, Calabon MS, Huanraluek N, Chandrasiri SKU, Jones GEB, Rossi W, Leonardi M, Singh SK, Rana S, Singh PN, Maurya DK, Lagashetti AC, Choudhary D, Dai YC, Zhao CL, Mu YH, Yuan HS, He SH, Phookamsak R, Jiang HB, Martín MP, Dueñas M, Telleria MT, Kałucka IL, Jagodziński AM, Liimatainen K, Pereira DS, Phillips AJL, Suwannarach N, Kumla J, Khuna S, Lumyong S, Potter TB, Shivas RG, Sparks AH, Vaghefi N, Abdel-Wahab MA, Abdel-Aziz FA, Li GJ, Lin WF, Singh U, Bhatt RP, Lee HB, Nguyen TTT, Kirk PM, Dutta AK, Acharya K, Sarma VV, Niranjan M, Rajeshkumar KC, Ashtekar N, Lad S, Wijayawardene NN, Bhat DJ, Xu RJ, Wijesinghe SN, Shen HW, Luo ZL, Zhang JY, Sysouphanthong P, Thongklang N, Bao DF, Aluthmuhandiram JVS, Abdollahzadeh J, Javadi A, Dovana F, Usman M, Khalid AN, Dissanayake AJ, Telagathoti A, Probst M, Peintner U, Garrido-Benavent I, Bóna L, Merényi Z, Boros L, Zoltán B, Stielow JB, Jiang N, Tian CM, Shams E, Dehghanizadeh F, Pordel A, Javan-Nikkhah M, Denchev TT, Denchev CM, Kemler M, Begerow D, Deng CY, Harrower E, Bozorov T, Kholmuradova T, Gafforov Y, Abdurazakov A, Xu JC, Mortimer PE, Ren GC, Jeewon R, Maharachchikumbura SSN, Phukhamsakda C, Mapook A, and Hyde KD
- Abstract
This article is the 13th contribution in the Fungal Diversity Notes series, wherein 125 taxa from four phyla, ten classes, 31 orders, 69 families, 92 genera and three genera incertae sedis are treated, demonstrating worldwide and geographic distribution. Fungal taxa described and illustrated in the present study include three new genera, 69 new species, one new combination, one reference specimen and 51 new records on new hosts and new geographical distributions. Three new genera, Cylindrotorula ( Torulaceae ), Scolecoleotia ( Leotiales genus incertae sedis ) and Xenovaginatispora ( Lindomycetaceae ) are introduced based on distinct phylogenetic lineages and unique morphologies. Newly described species are Aspergillus lannaensis , Cercophora dulciaquae , Cladophialophora aquatica , Coprinellus punjabensis , Cortinarius alutarius , C. mammillatus , C. quercoflocculosus , Coryneum fagi , Cruentomycena uttarakhandina , Cryptocoryneum rosae , Cyathus uniperidiolus , Cylindrotorula indica , Diaporthe chamaeropicola , Didymella azollae , Diplodia alanphillipsii , Dothiora coronicola , Efibula rodriguezarmasiae , Erysiphe salicicola , Fusarium queenslandicum , Geastrum gorgonicum , G. hansagiense , Helicosporium sexualis , Helminthosporium chiangraiensis , Hongkongmyces kokensis , Hydrophilomyces hydraenae , Hygrocybe boertmannii , Hyphoderma australosetigerum , Hyphodontia yunnanensis , Khaleijomyces umikazeana , Laboulbenia divisa , Laboulbenia triarthronis , Laccaria populina , Lactarius pallidozonarius , Lepidosphaeria strobelii , Longipedicellata megafusiformis , Lophiotrema lincangensis , Marasmius benghalensis , M. jinfoshanensis , M. subtropicus , Mariannaea camelliae , Melanographium smilaxii , Microbotryum polycnemoides , Mimeomyces digitatus , Minutisphaera thailandensis , Mortierella solitaria , Mucor harpali , Nigrograna jinghongensis , Odontia huanrenensis , O. parvispina , Paraconiothyrium ajrekarii , Parafuscosporella niloticus , Phaeocytostroma yomensis , Phaeoisaria synnematicus , Phanerochaete hainanensis , Pleopunctum thailandicum , Pleurotheciella dimorphospora , Pseudochaetosphaeronema chiangraiense , Pseudodactylaria albicolonia , Rhexoacrodictys nigrospora , Russula paravioleipes , Scolecoleotia eriocamporesi , Seriascoma honghense , Synandromyces makranczyi , Thyridaria aureobrunnea , Torula lancangjiangensis , Tubeufia longihelicospora , Wicklowia fusiformispora , Xenovaginatispora phichaiensis and Xylaria apiospora . One new combination, Pseudobactrodesmium stilboideus is proposed. A reference specimen of Comoclathris permunda is designated. New host or distribution records are provided for Acrocalymma fici , Aliquandostipite khaoyaiensis , Camarosporidiella laburni , Canalisporium caribense , Chaetoscutula juniperi , Chlorophyllum demangei , C. globosum , C. hortense , Cladophialophora abundans , Dendryphion hydei , Diaporthe foeniculina , D. pseudophoenicicola , D. pyracanthae , Dictyosporium pandanicola , Dyfrolomyces distoseptatus , Ernakulamia tanakae , Eutypa flavovirens , E. lata , Favolus septatus , Fusarium atrovinosum , F. clavum , Helicosporium luteosporum , Hermatomyces nabanheensis , Hermatomyces sphaericoides , Longipedicellata aquatica , Lophiostoma caudata , L. clematidis-vitalbae , Lophiotrema hydei , L. neoarundinaria , Marasmiellus palmivorus , Megacapitula villosa , Micropsalliota globocystis , M. gracilis , Montagnula thailandica , Neohelicosporium irregulare , N. parisporum , Paradictyoarthrinium diffractum , Phaeoisaria aquatica , Poaceascoma taiwanense , Saproamanita manicata , Spegazzinia camelliae , Submersispora variabilis , Thyronectria caudata , T. mackenziei , Tubeufia chiangmaiensis , T. roseohelicospora , Vaginatispora nypae , Wicklowia submersa , Xanthagaricus necopinatus and Xylaria haemorrhoidalis . The data presented herein are based on morphological examination of fresh specimens, coupled with analysis of phylogenetic sequence data to better integrate taxa into appropriate taxonomic ranks and infer their evolutionary relationships., Competing Interests: Conflict of interestThe authors declare that they have no conflict of interest., (© MUSHROOM RESEARCH FOUNDATION 2021.)
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- 2021
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23. A new genus of Bambusicolaceae (Pleosporales) on Corylus avellana (Fagales) from Italy.
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Wijesinghe SN, Wang Y, Camporesi E, Wanasinghe DN, Boonmee S, and Hyde KD
- Abstract
Background: In this study, we introduce Corylicola gen. nov. in the family of Bambusicolaceae (Pleosporales), to accommodate Corylicola italica sp. nov. The new species was isolated from dead branches of Corylus avellana (common hazel) in Italy. The discovery of this new genus with both sexual and asexual characters will contribute to expand the knowledge and taxonomic framework of Bambusicolaceae., New Information: Corylicola gen. nov. has similar morphological characters compared to other genera of Bambusicolaceae. These are solitary, scattered, globose to subglobose and ostiolate ascomata; anastomosing and branching pseudoparaphyses; cylindrical asci with a well-developed ocular chamber and short furcate pedicel; and single-septate ascospores. The coelomycetous asexual morph of Corylicola has holoblastic, phialidic conidiogenous cells and light brown conidia analogous to other members in the family. Corylicola differs from the other genera of Bambusicolaceae in having yellowish-brown ascospore masses at the top of the ascomatal neck. Detailed morphological illustrations with comprehensive descriptions for the new taxa are provided, as well as a key to the genera of Bambusicolaceae. Maximum Likelihood analysis and Bayesian Inference of a combined SSU, LSU, ITS, RPB2 and TEF1 sequence dataset confirms the placement of this genus as a distinct lineage in Bambusicolaceae., (Subodini Nuwanthika Wijesinghe, Yong Wang, Erio Camporesi, Dhanushka Nadeeshan Wanasinghe, Saranyaphat Boonmee, Kevin David Hyde.)
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- 2020
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24. Regulation of the Inflammatory Synovial Fibroblast Phenotype by Metastasis-Associated Lung Adenocarcinoma Transcript 1 Long Noncoding RNA in Obese Patients With Osteoarthritis.
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Nanus DE, Wijesinghe SN, Pearson MJ, Hadjicharalambous MR, Rosser A, Davis ET, Lindsay MA, and Jones SW
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- Aged, Cell Proliferation physiology, Female, Humans, Inflammation metabolism, Male, Middle Aged, Obesity complications, Osteoarthritis, Hip complications, Fibroblasts metabolism, Interleukin-6 metabolism, Obesity metabolism, Osteoarthritis, Hip metabolism, RNA, Long Noncoding metabolism, Synovial Membrane metabolism
- Abstract
Objective: To identify long noncoding RNAs (lncRNAs) associated with the inflammatory phenotype of synovial fibroblasts from obese patients with osteoarthritis (OA), and to explore the expression and function of these lncRNAs., Methods: Synovium was collected from normal-weight patients with hip fracture (non-OA; n = 6) and from normal-weight (n = 8) and obese (n = 8) patients with hip OA. Expression of RNA was determined by RNA-sequencing and quantitative reverse transcription-polymerase chain reaction. Knockdown of lncRNA was performed using LNA-based GapmeRs. Synovial fibroblast cytokine production was measured by enzyme-linked immunosorbent assay., Results: Synovial fibroblasts from obese patients with OA secreted greater levels of interleukin-6 (IL-6) (mean ± SEM 162 ± 21 pg/ml; P < 0.001) and CXCL8 (262 ± 67 pg/ml; P < 0.05) compared to fibroblasts from normal-weight patients with OA (IL-6, 51 ± 4 pg/ml; CXCL8, 78 ± 11 pg/ml) or non-OA patients (IL-6, 35 ± 3 pg/ml; CXCL8, 56 ± 6 pg/ml) (n = 6 patients per group). RNA-sequencing revealed that fibroblasts from obese OA patients exhibited an inflammatory transcriptome, with increased expression of proinflammatory messenger RNAs (mRNAs) as compared to that in fibroblasts from normal-weight OA or non-OA patients (>2-fold change, P < 0.05; n = 4 patients per group). A total of 19 lncRNAs were differentially expressed between normal-weight OA and non-OA patient fibroblasts, and a further 19 lncRNAs were differentially expressed in fibroblasts from obese OA patients compared to normal-weight OA patients (>2-fold change, P < 0.05 for each), which included the lncRNA for metastasis-associated lung adenocarcinoma transcript 1 (MALAT1). MALAT1 was rapidly induced upon stimulation of OA synovial fibroblasts with proinflammatory cytokines, and was up-regulated in the synovium from obese OA patients as compared to normal-weight OA patients (1.6-fold change, P < 0.001) or non-OA patients (6-fold change, P < 0.001). MALAT1 knockdown in OA synovial fibroblasts (n = 4 patients) decreased the levels of mRNA expression and protein secretion of CXCL8 (>1.5-fold change, P < 0.01), whereas it increased expression of mRNAs for TRIM6 (>2-fold change, P < 0.01), IL7R (<2-fold change, P < 0.01), HIST1H1C (>1.5-fold change, P < 0.001), and MAML3 (>1.5-fold change, P < 0.001). In addition, MALAT1 knockdown inhibited the proliferation of synovial fibroblasts from obese patients with OA., Conclusion: Synovial fibroblasts from obese patients with hip OA exhibit an inflammatory phenotype. MALAT1 lncRNA may mediate joint inflammation in obese OA patients., (© 2019, The Authors. Arthritis & Rheumatology published by Wiley Periodicals, Inc. on behalf of American College of Rheumatology.)
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- 2020
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25. Silent rupture of aortic aneurysm mimicking lung malignancy.
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Wijesinghe SN, Yasaratne BM, and Madegedara RM
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- Aortic Aneurysm diagnostic imaging, Aortic Rupture diagnostic imaging, Diagnosis, Differential, Humans, Lung Neoplasms diagnostic imaging, Male, Middle Aged, Radiography, Thoracic, Tomography, X-Ray Computed, Aortic Aneurysm diagnosis, Aortic Rupture diagnosis, Lung Neoplasms diagnosis
- Abstract
Extra-pulmonary diseases may mimic pulmonary lesions on chest radiography. We report a case of a silent rupture of an atherosclerotic thoracic aortic aneurysm with peripheral thrombus formation, that closely mimicked a complicated lung malignancy.
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- 2013
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