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Supplementary material 9 from: Yang C, Du X, Liu Y, Yuan H, Wang Q, Hou X, Gong H, Wang Y, Huang Y, Li X, Ye H (2022) Comparative mitogenomics of the genus Motacilla (Aves, Passeriformes) and its phylogenetic implications. ZooKeys 1109: 49-65. https://doi.org/10.3897/zookeys.1109.81125

Yang, Chao ; Du, Xiaojuan ; Liu, Yuxin ; [et al.]

Pensoft Publishers ; 2022

In: ZooKeys Vol. 1109 ( 2022-07-01), p. 49-65

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In: ZooKeys, Pensoft Publishers, Vol. 1109 ( 2022-07-01), p. 49-65

Abstract: The genus Motacilla belongs to Motacillidae (Passeriformes), where mitochondrial features are poorly understood and phylogeny is controversial. Whole mitochondrial genome (mitogenome) data and large taxon sampling are considered to be ideal strategies to obtain this information. We generated four complete mitogenomes of M. flava , M. cinerea , M. alba and Dendronanthus indicus , and made comparative analyses of Motacilla species combined with mitogenome data from GenBank, and then reconstructed phylogenetic trees based on 37 mitochondrial genes. The mitogenomes of four mitogenome sequences exhibited the same gene order observed in most Passeriformes species. Comparative analyses were performed among all six sampled Motacilla mitogenomes. The complete mitogenomes showed A-skew and C-skew. Most protein-coding genes (PCGs) start with an ATG codon and terminate with a TAA codon. The secondary structures of RNAs were similar among Motacilla and Dendronanthus . All tRNAs except for trnS(agy) could be folded into classic clover-leaf structures. Three domains and several conserved boxes were detected. Phylogenetic analysis of 90 mitogenomes of Passeriformes using maximum likelihood (ML) and Bayesian inference (BI) revealed that Motacilla was a monophyletic group. Among Motacilla species, M. flava and M. tschutschensis showed closer relationships, and M. cinerea was located in a basal position within Motacilla . These data provide important information for better understanding the mitogenomic characteristics and phylogeny of Motacilla .

Type of Medium: Online Resource

ISSN: 1313-2970 , 1313-2989

URL: Article

DOI: 10.3897/zookeys.1109.81125

DOI: 10.3897/zookeys.1109.81125.figure1

DOI: 10.3897/zookeys.1109.81125.figure2

DOI: 10.3897/zookeys.1109.81125.figure3

DOI: 10.3897/zookeys.1109.81125.suppl1

DOI: 10.3897/zookeys.1109.81125.suppl2

DOI: 10.3897/zookeys.1109.81125.suppl3

DOI: 10.3897/zookeys.1109.81125.suppl4

DOI: 10.3897/zookeys.1109.81125.suppl5

DOI: 10.3897/zookeys.1109.81125.suppl6

DOI: 10.3897/zookeys.1109.81125.suppl7

DOI: 10.3897/zookeys.1109.81125.suppl8

DOI: 10.3897/zookeys.1109.81125.suppl9

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2022

detail.hit.zdb_id: 2445640-8

SSG: 12

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“Fatty” or “steatotic”: position statement from a linguistic perspective by the Chinese-speaking community

Miao, Lei ; Ye, Shu-Mian ; Zheng, Ming-Hua ; [et al.]

Elsevier BV ; 2024

In: Journal of Hepatology ( 2024-5)

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In: Journal of Hepatology, Elsevier BV, ( 2024-5)

Type of Medium: Online Resource

ISSN: 0168-8278

URL: Article

DOI: 10.1016/j.jhep.2024.05.031

Language: English

Publisher: Elsevier BV

Publication Date: 2024

detail.hit.zdb_id: 2027112-8

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Figure 3 from: Zhou Y, Zhi J, Ye M, Zhang Z, Yue W, Zou X (2018) Lecanicillium cauligalbarum sp. nov. (Cordycipitaceae, Hypocreales), a novel fungus isolated from a stemborer in the Yao Ren National Forest Mountain Park, Guizhou. MycoKeys 43: 59-74. https://doi.org/10.3897/mycokeys.43.30203

Zhou, Ye-Ming ; Zhi, Jun-Rui ; Ye, Mao ; [et al.]

Pensoft Publishers ; 2018

In: MycoKeys Vol. 43 ( 2018-12-04), p. 59-74

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In: MycoKeys, Pensoft Publishers, Vol. 43 ( 2018-12-04), p. 59-74

Abstract: A new species of entomopathogenic fungi, Lecanicilliumcauligalbarum , was discovered from a survey of invertebrate-associated fungi in the Yao Ren National Forest Mountain Park in China. The synnemata of this species emerged from the corpse of a stemborer (Lepidoptera), which was hidden amongst pieces of wood on the forest floor. It differs from morphologically similar Lecanicillium species mainly in its short conidiogenous cells and ellipsoid to ovoid and aseptate conidia. Phylogenetic analysis of a combined data set comprising ITS, SSU , LSU , TEF , RPB1 and RPB2 sequence data supported the inclusion of L.cauligalbarum in the Lecanicillium genus and its recognition as a distinct species.

Type of Medium: Online Resource

ISSN: 1314-4049 , 1314-4057

URL: Article

DOI: 10.3897/mycokeys.43.30203

DOI: 10.3897/mycokeys.43.30203.figure1

DOI: 10.3897/mycokeys.43.30203.figure2

DOI: 10.3897/mycokeys.43.30203.figure3

Language: Unknown

Publisher: Pensoft Publishers

Publication Date: 2018

detail.hit.zdb_id: 2630648-7

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The third Intensive Care Bundle with Blood Pressure Reduction in Acute Cerebral Haemorrhage Trial (INTERACT3): an international, stepped wedge cluster randomised controlled trial

Ma, Lu ; Hu, Xin ; Song, Lili ; [et al.]

Elsevier BV ; 2023

In: The Lancet Vol. 402, No. 10395 ( 2023-07), p. 27-40

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In: The Lancet, Elsevier BV, Vol. 402, No. 10395 ( 2023-07), p. 27-40

Type of Medium: Online Resource

ISSN: 0140-6736

URL: Article

DOI: 10.1016/S0140-6736(23)00806-1

RVK:

XA 10000

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2067452-1

detail.hit.zdb_id: 3306-6

detail.hit.zdb_id: 1476593-7

SSG: 5,21

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Prospective observational cohort study on grading the severity of postoperative complications in global surgery research

International Surgical Outcomes Study (ISOS) group ; Abbott, T E F ; Greaves, K E ; [et al.]

Oxford University Press (OUP) ; 2019

In: British Journal of Surgery Vol. 106, No. 2 ( 2019-01-08), p. e73-e80

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In: British Journal of Surgery, Oxford University Press (OUP), Vol. 106, No. 2 ( 2019-01-08), p. e73-e80

Abstract: The Clavien–Dindo classification is perhaps the most widely used approach for reporting postoperative complications in clinical trials. This system classifies complication severity by the treatment provided. However, it is unclear whether the Clavien–Dindo system can be used internationally in studies across differing healthcare systems in high- (HICs) and low- and middle-income countries (LMICs). Methods This was a secondary analysis of the International Surgical Outcomes Study (ISOS), a prospective observational cohort study of elective surgery in adults. Data collection occurred over a 7-day period. Severity of complications was graded using Clavien–Dindo and the simpler ISOS grading (mild, moderate or severe, based on guided investigator judgement). Severity grading was compared using the intraclass correlation coefficient (ICC). Data are presented as frequencies and ICC values (with 95 per cent c.i.). The analysis was stratified by income status of the country, comparing HICs with LMICs. Results A total of 44 814 patients were recruited from 474 hospitals in 27 countries (19 HICs and 8 LMICs). Some 7508 patients (16·8 per cent) experienced at least one postoperative complication, equivalent to 11 664 complications in total. Using the ISOS classification, 5504 of 11 664 complications (47·2 per cent) were graded as mild, 4244 (36·4 per cent) as moderate and 1916 (16·4 per cent) as severe. Using Clavien–Dindo, 6781 of 11 664 complications (58·1 per cent) were graded as I or II, 1740 (14·9 per cent) as III, 2408 (20·6 per cent) as IV and 735 (6·3 per cent) as V. Agreement between classification systems was poor overall (ICC 0·41, 95 per cent c.i. 0·20 to 0·55), and in LMICs (ICC 0·23, 0·05 to 0·38) and HICs (ICC 0·46, 0·25 to 0·59). Conclusion Caution is recommended when using a treatment approach to grade complications in global surgery studies, as this may introduce bias unintentionally.

Type of Medium: Online Resource

ISSN: 0007-1323 , 1365-2168

URL: Article

DOI: 10.1002/bjs.11025

Language: English

Publisher: Oxford University Press (OUP)

Publication Date: 2019

detail.hit.zdb_id: 2006309-X

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The surgical safety checklist and patient outcomes after surgery: a prospective observational cohort study, systematic review and meta-analysis

Abbott, T.E.F. ; Ahmad, T. ; Phull, M.K. ; [et al.]

Elsevier BV ; 2018

In: British Journal of Anaesthesia Vol. 120, No. 1 ( 2018-01), p. 146-155

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In: British Journal of Anaesthesia, Elsevier BV, Vol. 120, No. 1 ( 2018-01), p. 146-155

Type of Medium: Online Resource

ISSN: 0007-0912

URL: Article

DOI: 10.1016/j.bja.2017.08.002

Language: English

Publisher: Elsevier BV

Publication Date: 2018

detail.hit.zdb_id: 2011968-9

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A global reference for human genetic variation

The 1000 Genomes Project Consortium ; Auton, Adam ; Abecasis, Gonçalo R. ; [et al.]

Springer Science and Business Media LLC ; 2015

In: Nature Vol. 526, No. 7571 ( 2015-10-01), p. 68-74

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In: Nature, Springer Science and Business Media LLC, Vol. 526, No. 7571 ( 2015-10-01), p. 68-74

Type of Medium: Online Resource

ISSN: 0028-0836 , 1476-4687

URL: Article

DOI: 10.1038/nature15393

RVK:

TA 1000

RVK:

UA 1000

RVK:

WA 15000

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2015

detail.hit.zdb_id: 120714-3

detail.hit.zdb_id: 1413423-8

SSG: 11

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Prediction of postoperative infection in elderly using deep learning-based analysis: an observational cohort study

Li, Pinhao ; Wang, Yan ; Li, Hui ; [et al.]

Springer Science and Business Media LLC ; 2023

In: Aging Clinical and Experimental Research Vol. 35, No. 3 ( 2023-01-04), p. 639-647

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In: Aging Clinical and Experimental Research, Springer Science and Business Media LLC, Vol. 35, No. 3 ( 2023-01-04), p. 639-647

Abstract: Elderly patients are susceptible to postoperative infections with increased mortality. Analyzing with a deep learning model, the perioperative factors that could predict and/or contribute to postoperative infections may improve the outcome in elderly. This was an observational cohort study with 2014 elderly patients who had elective surgery from 28 hospitals in China from April to June 2014. We aimed to develop and validate deep learning-based predictive models for postoperative infections in the elderly. 1510 patients were randomly assigned to be training dataset for establishing deep learning-based models, and 504 patients were used to validate the effectiveness of these models. The conventional model predicted postoperative infections was 0.728 (95% CI 0.688–0.768) with the sensitivity of 66.2% (95% CI 58.2–73.6) and specificity of 66.8% (95% CI 64.6–68.9). The deep learning model including risk factors relevant to baseline clinical characteristics predicted postoperative infections was 0.641 (95% CI 0.545–0.737), and sensitivity and specificity were 34.2% (95% CI 19.6–51.4) and 88.8% (95% CI 85.6–91.6), respectively. Including risk factors relevant to baseline variables and surgery, the deep learning model predicted postoperative infections was 0.763 (95% CI 0.681–0.844) with the sensitivity of 63.2% (95% CI 46–78.2) and specificity of 80.5% (95% CI 76.6–84). Our feasibility study indicated that a deep learning model including risk factors for the prediction of postoperative infections can be achieved in elderly. Further study is needed to assess whether this model can be used to guide clinical practice to improve surgical outcomes in elderly.

Type of Medium: Online Resource

ISSN: 1720-8319

URL: Article

DOI: 10.1007/s40520-022-02325-3

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 2119282-0

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Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)

Klionsky, Daniel J ; Abdelmohsen, Kotb ; Abe, Akihisa ; [et al.]

Informa UK Limited ; 2016

In: Autophagy Vol. 12, No. 1 ( 2016-01-02), p. 1-222

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In: Autophagy, Informa UK Limited, Vol. 12, No. 1 ( 2016-01-02), p. 1-222

Type of Medium: Online Resource

ISSN: 1554-8627 , 1554-8635

URL: Article

DOI: 10.1080/15548627.2015.1100356

Language: English

Publisher: Informa UK Limited

Publication Date: 2016

detail.hit.zdb_id: 2262043-6

SSG: 12

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Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

Bailey, Matthew H. ; Meyerson, William U. ; Dursi, Lewis Jonathan ; [et al.]

Springer Science and Business Media LLC ; 2020

In: Nature Communications Vol. 11, No. 1 ( 2020-09-21)

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In: Nature Communications, Springer Science and Business Media LLC, Vol. 11, No. 1 ( 2020-09-21)

Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF 〈 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts.

Type of Medium: Online Resource

ISSN: 2041-1723

URL: Article

DOI: 10.1038/s41467-020-18151-y

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2020

detail.hit.zdb_id: 2553671-0

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