Evidence map›Paper›PMID 42547606›Full record

ReviewProtoplasma2026

CRISPR-Cas-based detection of Mycobacterium tuberculosis: current advances and translational bottlenecks.

Nour Akkoul, Tarun Kumar, Swaati Sharma, Vipasha Sharma, Vaseem Raja, Tanzil Gaffar Malik, Wan Shafrina Wan Mohd Jaafar, Ajay Kumar Gupta, Khalid Rehman Hakeem

Abstract readReview
PubMed Publisher
In one paragraph

Review in Protoplasma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Nour AkkoulDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Tarun KumarDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Swaati Sharma *Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India. swaati.e10067@cumail.in.
Vipasha SharmaDepartment of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, Punjab, India.
Vaseem RajaUniversity Centre for Research and Development (UCRD), Chandigarh University, Mohali, Punjab, 140413, India. wrajamp2009@gmail.com.
Tanzil Gaffar MalikEarth Observation Centre, Institute of Climate Change, National University of Malaysia (UKM), Bangi, Selangor, 43600, Malaysia.
Wan Shafrina Wan Mohd JaafarEarth Observation Centre, Institute of Climate Change, National University of Malaysia (UKM), Bangi, Selangor, 43600, Malaysia.
Ajay Kumar GuptaFaculty of Agriculture and Life Sciences, Desh Bhagat University, Mandi Gobindgarh, Panjab, 147203, India.
Khalid Rehman Hakeem *Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. kur.hakeem@gmail.com.ORCID http://orcid.org/0000-0001-7824-4695

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB), caused by Mycobacterium tuberculosis (Mtb), remains a major global health challenge due to persistent diagnostic gaps. CRISPR-Cas-based diagnostics have emerged as highly sensitive and programmable platforms for nucleic acid detection, enabling rapid identification of Mtb targets, including drug-resistance-associated mutations. These systems integrate isothermal amplification, diverse Cas effectors, and multiple signal readout strategies to achieve high analytical performance. This review provides a comparative analysis of clinically evaluated CRISPR-based TB diagnostic platforms, highlighting substantial variability in assay design, performance, and translational readiness. While many platforms demonstrate strong analytical sensitivity, their implementation remains constrained by workflow complexity and limited integration into true point-of-care formats. This highlights that successful clinical translation of CRISPR-based TB diagnostics is determined more by real-world adaptability than by analytical performance alone. The current review presents a comparative analysis of CRISPR-based diagnostic platforms for tuberculosis, evaluating the variability in assay design, analytical and clinical performance, and translational readiness across currently available systems.

Indexed as

CRISPR-CasDrug-resistanceGlobal healthMycobacterium tuberculosisPoint-of-care

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.