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星期三, 30 10月 2019

Pressure-redistribution Surfaces for Prevention of Surgery-related Pressure Ulcers: A Meta-Analysis

Authors

Hai-Yan Huang

Hong-Lin Chen

星期三, 30 10月 2019

A Review of the Literature Informing Affordable, Available Wound Management Choices for Rural Areas of Tropical Developing Countries

Authors

Linda L. L. Benskin

Keywords

星期三, 30 10月 2019

Creating a Pressure Ulcer Prevention Algorithm: Systematic Review and Face Validation

Authors

Lia van Rijswijk

Janice M. Beitz

星期三, 30 10月 2019

The Role of Obesity in the Patient Undergoing Colorectal Surgery and Fecal Diversion: A Review of the Literature

Authors

Janice C. Colwell

星期三, 30 10月 2019

Tissue Changes in Patients Following Spinal Cord Injury and Implications for Wheelchair Cushions and Tissue Loading: A Literature Review

Authors

Amit Gefen

星期三, 30 10月 2019

Extracorporeal Shock Wave Therapy as an Adjunct Wound Treatment: A Systematic Review of the Literature

Authors

Robert Dymarek

Tomasz Halski

K2 Content

The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository in the AIRR Data Commons: a practical guide for access, use and contributions through the Type 1 Diabetes AIRR Consortium 2025-07-18 00:00

Stephanie J. Hanna1 · Rachel H. Bonami2,3,4,5 · Brian Corrie6,7 · Monica Westley8 · Amanda L. Posgai9 · Eline T. Luning Prak10 · Felix Breden6,7 · Aaron W. Michels11 · Todd M. Brusko9,12,13 · Type 1 Diabetes AIRR Consortium

Received: 26 May 2024 / Accepted: 19 August 2024 / Published online: 29 October 2024

© The Author(s) 2024

Extended author information available on the last page of the article

Abstract

Human molecular genetics has brought incredible insights into the variants that confer risk for the development of tissuespecific autoimmune diseases, including type 1 diabetes. The hallmark cell-mediated immune destruction that is characteristic of type 1 diabetes is closely linked with risk conferred by the HLA class II gene locus, in combination with a broad array of additional candidate genes influencing islet-resident beta cells within the pancreas, as well as function, phenotype and trafficking of immune cells to tissues. In addition to the well-studied germline SNP variants, there are critical contributions conferred by T cell receptor (TCR) and B cell receptor (BCR) genes that undergo somatic recombination to yield the Adaptive Immune Receptor Repertoire (AIRR) responsible for autoimmunity in type 1 diabetes. We therefore created the T1D TCR/ BCR Repository (The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository) to study these highly variable and dynamic gene rearrangements. In addition to processed TCR and BCR sequences, the T1D TCR/BCR Repository includes detailed metadata (e.g. participant demographics, disease-associated parameters and tissue type). We introduce the Type 1 Diabetes AIRR Consortium goals and outline methods to use and deposit data to this comprehensive repository. Our ultimate goal is to facilitate research community access to rich, carefully annotated immune AIRR datasets to enable new scientific inquiry and insight into the natural history and pathogenesis of type 1 diabetes.

Keywords AIRR · AIRR Data Commons · Autoantibodies · B cell receptors · FAIR data · Next-generation sequencing · Single-cell RNA-seq · T cell receptors · Type 1 diabetes

Abbreviations

AAb Autoantibody/autoantibodies

ADC AIRR Data Commons

AIM Activation-induced marker

AIRR Adaptive Immune Receptor Repertoire

AIRR-seq AIRR sequencing

BCR B cell receptor

CDR3 Complementarity determining region 3

FAIR Findable, Accessible, Interoperable, Reusable

GEO Gene Expression Omnibus

HPAP Human Pancreas Analysis Program

IEDB Immune Epitope Database

MiAIRR Minimal information about AIRR

ML Machine learning

pLN Pancreatic lymph node(s)

SARS-CoV-2 Severe acute respiratory syndrome coronavirus 2

scRNA-seq Single-cell RNA-seq

SRA Sequence Read Archive

T1D TCR/BCR Repository The Type 1 Diabetes T Cell Receptor and B Cell Receptor Repository

TCR T cell receptor

TCRβ T cell receptor β chain

Tfh T follicular helper

Treg Regulatory T cell(s)

VDJ Variable, diversity and joining gene segments

Stephanie J. Hanna and Rachel H. Bonami contributed equally to this work. Aaron W. Michels and Todd M. Brusko contributed equally as joint senior authors.

Members of the Type 1 Diabetes AIRR Consortium are listed in the Acknowledgements.
Unmet needs of Italian centers for pediatric diabetes care: analysis of a survey among pediatric diabetologists facing the national screening program for Type 1 Diabetes 2025-07-16 00:00

Marco Marigliano1,11*† , Roberto Franceschi2†, Enza Mozzillo3†, Valentina Tiberi4†, Monica Marino4 , Giada Boccolini4 , Malgorzata Wasniewska5 , Maria Elizabeth Street6 , Maria Rosaria Licenziati7 , Riccardo Bonfanti8 , Felice Citriniti9 , Giuseppe D’Annunzio10, Maria Carolina Salerno3 , Valentino Cherubini4 and the Diabetes Study Group of the Italian Society of Pediatric Endocrinology and Diabetology (ISPED)

† Marco Marigliano, Roberto Franceschi, Enza Mozzillo and Valentina Tiberi contributed equally to this work.

Abstract

Backgrounds The incidence of Type 1 Diabetes (T1D) in children and adolescents is increasing by 3–4% per year. Children and adolescents with T1D (CwD) should receive person-centered, specialized treatment from a multidisciplinary team to ensure appropriate care. Italy is the first to implement a countrywide T1D screening program, which will raise the need for funding for specialized pediatric care. The study aims to update the organization of the Italian Centers for pediatric diabetes care.

Methods In 2022, members of the 59 Italian Centers following CwD were invited to complete an email survey regarding the Centers’ organization, characteristics, and activities. The questionnaire included information on responders, department organization, team composition, activities, and the organizational structures: department, ambulatory care services (AC), simple operational units (UOS), simple departmental operational units (UOSd), and complex operational units (UOC).

Results The data collected referred to the year 2022. According to the results, 21,318 people with diabetes were treated. Of these, 19,643 subjects (92.1%) have T1D (16,672 were CwD), 387 (1,8%) have Type 2 Diabetes, and 1,288 (6,1%) have other forms of diabetes. Compared to the 2012 survey, a 13% decrease (from 68 to 59 Centers) in the number of pediatric Centers caring for CwD was observed with a parallel increase of total (+6.6%) and average (+22%) number of CwD per Center. The estimated prevalence of T1D has increased (1.4 vs. 1.7 per 1,000 CwD—2012 vs. 2022). A reduction in numbers for AC (-22%) and UOS (-35%) was observed, whereas UOSd/UOC increased by 50%. Almost 35% of the dietitians and 40% of the psychologists were not permanent members of the multidisciplinary diabetes team.

Conclusions The observed decrease in the overall number of pediatric diabetes Centers, the reduction in specialized and dedicated HCPs, and the concurrent increase in the number of treated CwD in the last ten years indicate an alarming situation for pediatric diabetes treatment in Italy. Furthermore, the projected rise in CwD due to the National T1D screening program emphasizes the need for increased resources for specialized pediatric care of CwD at all stages.

Keywords Type 1 diabetes, Care, Children, Adolescents, Benchmarking, Team, Screening, Technology
Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits 2025-07-15 00:00

Loϊc Binan,1,2 Aiping Jiang,3,4,5 Serwah A. Danquah,1,6,12 Vera Valakh,1,6,13 Brooke Simonton,2,14 Jon Bezney,2,15 Robert T. Manguso,3,4,5 Kathleen B. Yates,3,4,5 Ralda Nehme,6 Brian Cleary,7,8,9,10,11,* and Samouil L. Farhi1,16,*

1 Spatial Technology Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA

2 Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA

3 Cancer Program, Broad Institute of Harvard and MIT, Cambridge, MA 02142, USA

4 Krantz Family Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02144, USA

5 Department of Medicine, Harvard Medical School, Boston, MA 02115, USA

6 Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA

7 Faculty of Computing and Data Sciences, Boston University, Boston, MA 02215, USA

8 Department of Biology, Boston University, Boston, MA 02215, USA

9 Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA

10 Program in Bioinformatics, Boston University, Boston, MA 02215, USA

11 Biological Design Center, Boston University, Boston, MA 02215, USA

12 Present address: Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA

13 Present address: Stoke Therapeutics, Bedford, MA, USA

14 Present address: The Ken & Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA

15 Present address: Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA

16 Lead contact

*Correspondence: bcleary@bu.edu (B.C.), sfarhi@broadinstitute.org (S.L.F.)

https://doi.org/10.1016/j.cell.2025.02.012

SUMMARY

Pooled optical screens have enabled the study of cellular interactions, morphology, or dynamics at massive scale, but they have not yet leveraged the power of highly plexed single-cell resolved transcriptomic readouts to inform molecular pathways. Here, we present a combination of imaging spatial transcriptomics with parallel optical detection of in situ amplified guide RNAs (Perturb-FISH). Perturb-FISH recovers intracellular effects that are consistent with single-cell RNA-sequencing-based readouts of perturbation effects (Perturb-seq) in a screen of lipopolysaccharide response in cultured monocytes, and it uncovers intercellular and density-dependent regulation of the innate immune response. Similarly, in three-dimensional xenograft models, Perturb-FISH identifies tumor-immune interactions altered by genetic knockout. When paired with a functional readout in a separate screen of autism spectrum disorder risk genes in human-induced pluripotent stem cell (hIPSC) astrocytes, Perturb-FISH shows common calcium activity phenotypes and their associated genetic interactions and dysregulated molecular pathways. Perturb-FISH is thus a general method for studying the genetic and molecular associations of spatial and functional biology at single-cell resolution.

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主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

伤口世界

Pressure-redistribution Surfaces for Prevention of Surgery-related Pressure Ulcers: A Meta-Analysis

Authors

A Review of the Literature Informing Affordable, Available Wound Management Choices for Rural Areas of Tropical Developing Countries

Authors

Keywords

Creating a Pressure Ulcer Prevention Algorithm: Systematic Review and Face Validation

Authors

The Role of Obesity in the Patient Undergoing Colorectal Surgery and Fecal Diversion: A Review of the Literature

Authors

Tissue Changes in Patients Following Spinal Cord Injury and Implications for Wheelchair Cushions and Tissue Loading: A Literature Review

Extracorporeal Shock Wave Therapy as an Adjunct Wound Treatment: A Systematic Review of the Literature

Authors

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Custom Mod Mega1

主任医师、教授、博导，南方医科大学第三附属医院（广东省骨科医院）院长

伤口世界

Pressure-redistribution Surfaces for Prevention of Surgery-related Pressure Ulcers: A Meta-Analysis

Authors

A Review of the Literature Informing Affordable, Available Wound Management Choices for Rural Areas of Tropical Developing Countries

Authors

Keywords

Creating a Pressure Ulcer Prevention Algorithm: Systematic Review and Face Validation

Authors

The Role of Obesity in the Patient Undergoing Colorectal Surgery and Fecal Diversion: A Review of the Literature

Authors

Tissue Changes in Patients Following Spinal Cord Injury and Implications for Wheelchair Cushions and Tissue Loading: A Literature Review

Extracorporeal Shock Wave Therapy as an Adjunct Wound Treatment: A Systematic Review of the Literature

Authors

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