Evidence map›Paper›PMID 28623720›Full record

ReviewCurrent opinion in microbiology2017

Next-generation precision antimicrobials: towards personalized treatment of infectious diseases.

Cesar de la Fuente-Nunez, Marcelo Dt Torres, Francisco Jm Mojica, Timothy K Lu

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed, 1 pooled it
11.6field-weighted citation impact, top 1% 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

68 citing papers in PubMed, 1 synthesis or guideline pooled it, 139 citations in OpenAlex.

  1. Pooled it
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  20. Discovery of antibiotics in the archaeome using deep learning.bioRxiv : the preprint server for biology · 2024
    Article

8 more citing papers are in PubMed but not listed here.

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

4 authors at 3 institutions in 3 countries.

Cesar de la Fuente-NunezSynthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Biophysics Program, Harvard University, Boston, MA, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA, USA. Electronic address: cfuente@mit.edu.
Marcelo Dt TorresSynthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Biophysics Program, Harvard University, Boston, MA, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA, USA; Centro de Ciências Naturais e Humanas, Universidade Federal do ABC, Santo André, São Paulo, Brazil.
Francisco Jm MojicaDepartamento de Fisiología, Genética y Microbiología, Universidad de Alicante, Pavilion 12, 03080, Alicante, Spain.
Timothy K LuSynthetic Biology Group, MIT Synthetic Biology Center, Massachusetts Institute of Technology, Cambridge, MA, USA; Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biological Engineering, and Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard Biophysics Program, Harvard University, Boston, MA, USA; The Center for Microbiome Informatics and Therapeutics, Cambridge, MA, USA. Electronic address: timlu@mit.edu.
Broad Institute · USSynthetic Biologics (United States) · USUniversity of Alicante · ES

Funding

MIT Center for Integrative Synthetic BiologyP50GM098792 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2013 to 2017
$11.0M
Engineering “Phagebody” Antimicrobials for Carbapenem-Resistant EnterobacteriaceaeR21AI121669 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LU, TIMOTHY · 2016 to 2017
$403k
NIAID NIH HHS R21 AI121669NIGMS NIH HHS P50 GM098792
6 · The paper itself

Abstract

Antibiotics started to be used almost 90 years ago to eradicate life-threatening infections. The urgency of the problem required rapid, broad-spectrum elimination of infectious agents. Since their initial discovery, these antimicrobials have saved millions of lives. However, they are not exempt from side effects, which include the indiscriminate disruption of the beneficial microbiota. Recent technological advances have enabled the development of antimicrobials that can selectively target a gene, a cellular process, or a microbe of choice. These strategies bring us a step closer to developing personalized therapies that exclusively remove disease-causing infectious agents. Here, we advocate the preservation of our beneficial microbes and provide an overview of promising alternatives to broad-spectrum antimicrobials. Specifically, we emphasize nucleic acid and peptide-based systems as a foundation for next-generation alternatives to antibiotics that do not challenge our microbiota and may help to mitigate the spread of resistance.

Indexed as

Anti-Infective AgentsBiological ProductsBiological TherapyCommunicable DiseasesHumansPrecision MedicineAnti-Infective AgentsBiological Products

Identifiers

PMID28623720
PMCPMC5669808
OpenAlexW2626237131

What OpenQuestion holds

Textmetadata
LicenceTDM
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.