Evidence map›Paper›PMID 42270888›Full record

ReviewNature protocols2026

Robust analytical methods for bis(monoacylglycero)phosphate profiling in health and disease.

Wentao Dong, Kwamina Nyame, Eshaan S Rawat, Uche N Medoh, Jian Xiong, Caio C Bonin, Hisham N Alsohybe, Hunter Y Liu, Sara Gomes, Tammy Shalit and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

14 authors.

Wentao Dong *Department of Chemical Engineering, Stanford University, Stanford, CA, USA. wdong5@stanford.edu.ORCID http://orcid.org/0000-0001-5490-4265
Kwamina Nyame *Department of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-8898-4689
Eshaan S Rawat *Department of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-2595-7605
Uche N MedohDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-7670-4093
Jian XiongDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0001-9008-3134
Caio C BoninDepartment of Bioengineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0007-4440-8111
Hisham N AlsohybeDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0009-0002-3277-8821
Hunter Y LiuDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Sara GomesAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.ORCID http://orcid.org/0000-0002-9086-2303
Tammy ShalitNextcea, Inc., Woburn, MA, USA.
Marianna ArnoldNextcea, Inc., Woburn, MA, USA.
Frank HsiehNextcea, Inc., Woburn, MA, USA.
Esther SammlerAligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, USA.ORCID http://orcid.org/0000-0003-3218-7116
Monther Abu-RemailehDepartment of Chemical Engineering, Stanford University, Stanford, CA, USA. monther@stanford.edu.ORCID http://orcid.org/0000-0003-3772-0477

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bis(monoacylglycero)phosphates (BMPs), a distinct class of anionic phospholipids predominantly found in late endosomes and lysosomes, plays a pivotal role in supporting lysosomal functions and maintaining metabolic homeostasis. Dysregulation of BMPs is associated with an array of disorders, notably neurodegenerative diseases. However, the identification and quantitation of BMP remains difficult because of its structural similarity to its isomer, phosphatidylglycerol (PG), thus necessitating robust analytical methods for accurate and reliable BMP profiling. In this study, we present comprehensive liquid chromatography (LC)-tandem mass spectrometry (MS2) methodologies for the precise and systematic analysis of BMP species in biological samples. We detail LC/MS methods for both an untargeted Orbitrap mass spectrometer and a targeted triple quadrupole mass spectrometer. We use differences in hydrophobicity and structure to annotate BMPs and PGs on the basis of retention time and positive-mode MS2 fragmentation patterns, respectively. Because genetic ablation of the BMP synthase CLN5 leads to specific depletion of BMPs but not PGs, lipid extracts from CLN5 knockout and wild-type cells can be compared to confidently annotate BMPs when MS2 data are incomplete. Lipid extraction and preparation of samples for LC/MS takes ~4 h, unattended LC/MS instrument time depends on the number of samples and computer-based data analysis takes ~1 d. Altogether, this approach constitutes a robust method for BMP profiling and annotation, furthering research into health and disease.

Identifiers

What OpenQuestion 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 OpenQuestion graph.