Evidence map›Paper›PMID 36927552›Full record

ReviewRetrovirology2023

HIV-1 infection of renal epithelial cells: 30 years of evidence from transgenic animal models, human studies and in vitro experiments.

Maria Blasi, Mary Klotman

Open access · goldFull text readReview
In one paragraph

Review in Retrovirology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 57% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Maria BlasiDepartment of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA. maria.blasi@duke.edu.
Mary KlotmanDepartment of Medicine, Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA. mary.klotman@duke.edu.
Duke University · US

Funding

Mechanisms of HIV persistence in the kidneyR01DK131497 · NIDDK · DUKE UNIVERSITY · PI Maria Blasi, Opeyemi Ayodeji Olabisi · 2022 to 2026
$4.1M
The role of Vpr-mediated cell cycle dysregulation in HIV-associated kidney diseaseR01DK133912 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI John Cijiang He, Mary E. Klotman · 2022 to 2026
$3.7M
NIDDK NIH HHS R01 DK131497NIDDK NIH HHS R01 DK133912
6 · The paper itself

Abstract

Although antiretroviral therapy (ART) has increased life expectancy in people with HIV-1 (PWH), acute and chronic kidney disease remain common in this population and are associated with poor outcomes. A broad spectrum of kidney disorders can be observed in PWH, some of which are directly related to intrarenal HIV infection and gene expression. HIV-associated nephropathy (HIVAN) was the most common kidney disease in PWH before ART became available. Animal models and human biopsy studies established the causal relationships between direct HIV-1 infection of renal epithelial cells and HIVAN, expression of viral genes in renal epithelial cells, and dysregulation of host genes involved in cell differentiation and cell cycle. In this review, we provide a summary of the body of work demonstrating HIV-1 infection of epithelial cells in the kidney and recent advancements in the understanding of viral entry mechanisms and consequences of HIV-1 gene expression in those cells.

Indexed as

AIDS-Associated NephropathyHIV-1HIV InfectionsAnimalsAnimals, Genetically ModifiedEpithelial CellsHumansHIV-1KidneyRenal epithelial cellsReservoirUrine

Identifiers

PMID36927552
PMCPMC10018895
OpenAlexW4327590952

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read3
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.