New insights into HPDL protein: identification of a novel Bi-allelic variant, docking simulation study, and literature review

BACKGROUND: Hereditary Spastic Paraplegia (HSP) is a rare neurodegenerative disorder causing progressive weakness and spasticity in the lower limbs. variants in the HPDL gene are linked to Spastic Paraplegia 83 (SPG83), an autosomal recessive form of HSP. While HPDL variants are known to cause SPG83, the molecular mechanisms behind its role remains unclear, mostly due to rare nature of the condition. METHODS: The primary objective was to identify the genetic cause of HSP in two Iranian consanguineous families. Whole-exome sequencing (WES) was employed to identify genetic variants in the probands. Molegro Virtual Docker (MVD), a cutting-edge integrated platform, was utilized to perform protein-ligand docking simulations. This approach aimed to characterize the structural and functional consequences of the identified variants associated with SPG83 pathogenicity. RESULTS: WES identified two biallelic variants in HPDL: c.3G > C, a start-loss variant abolishing the canonical initiation codon, and c.128G > C, a missense variant. The c.128G > C variant is novel and is documented here for the first time in an SPG83 patient. Trio-based co-segregation analysis confirmed inheritance of variants. Furthermore, a comprehensive literature review revealed a significant consanguinity rate (49.55%) within families harboring HPDL variants. CONCLUSION: This study expands the genetic and clinical spectrum of HPDL variants. The identification of the genetic variants in the probands underscores the clinical value of genetic testing methods like WES as a valuable diagnostic tool.

Authors

Institutions

Publication Details

Journal
BMC Medical Genomics
Published
2026-05-11
DOI
https://doi.org/10.1186/s12920-026-02389-4
Primary Topic
Hereditary Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

New insights into HPDL protein: identification of a novel Bi-allelic variant, docking simulation study, and literature review

Morteza Oladnabi, Ali Kowsari, Alireza Kargar Dolatabadi, Yahya Sefidbakht et al.
BMC Medical Genomics
Hereditary Neurological Disorders
article

New insights into HPDL protein: identification of a novel Bi-allelic variant, docking simulation study, and literature review

Morteza Oladnabi, Ali Kowsari, Alireza Kargar Dolatabadi, Yahya Sefidbakht, Teymoor Khosravi, Fatemeh Vaghefi, Farzaneh Motallebi, Arian Rahimzadeh, Sheyda Zarghami, Zainab M. Al Sudani
article en

Abstract

BACKGROUND: Hereditary Spastic Paraplegia (HSP) is a rare neurodegenerative disorder causing progressive weakness and spasticity in the lower limbs. variants in the HPDL gene are linked to Spastic Paraplegia 83 (SPG83), an autosomal recessive form of HSP. While HPDL variants are known to cause SPG83, the molecular mechanisms behind its role remains unclear, mostly due to rare nature of the condition. METHODS: The primary objective was to identify the genetic cause of HSP in two Iranian consanguineous families. Whole-exome sequencing (WES) was employed to identify genetic variants in the probands. Molegro Virtual Docker (MVD), a cutting-edge integrated platform, was utilized to perform protein-ligand docking simulations. This approach aimed to characterize the structural and functional consequences of the identified variants associated with SPG83 pathogenicity. RESULTS: WES identified two biallelic variants in HPDL: c.3G > C, a start-loss variant abolishing the canonical initiation codon, and c.128G > C, a missense variant. The c.128G > C variant is novel and is documented here for the first time in an SPG83 patient. Trio-based co-segregation analysis confirmed inheritance of variants. Furthermore, a comprehensive literature review revealed a significant consanguinity rate (49.55%) within families harboring HPDL variants. CONCLUSION: This study expands the genetic and clinical spectrum of HPDL variants. The identification of the genetic variants in the probands underscores the clinical value of genetic testing methods like WES as a valuable diagnostic tool.

BMC Medical Genomics
Golestan University (IR), Golestan University of Medical Sciences (IR), Shahid Beheshti University (IR)
Openalex Percentile: Top 10%
Hereditary Neurological Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.