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. 2023 Aug 31;11:e15998. doi: 10.7717/peerj.15998

Evaluation of the correlation of dorsal root ganglia and spinal nerves with clinical symptoms in patients with postherpetic neuralgia using magnetic resonance neurography

Xueqin Cao 1, Bo Jiao 1, Donglin Wen 2, Guangyou Duan 3, Mi Zhang 4, Caixia Zhang 1, Gang Wu 2,, Xianwei Zhang 1,
Editor: Kejal Kantarci
PMCID: PMC10475274  PMID: 37667753

Abstract

Purpose

To assess changes of dorsal root ganglia (DRG) and spinal nerves in patients with postherpetic neuralgia (PHN), and investigate the correlation between DRG morphology and clinical symptoms in PHN patients using magnetic resonance neurography (MRN).

Methods

In this case-control study, forty-nine lesioned DRG in 30 patients and 49 normal DRG in 30 well-matched (age, sex, height, weight) healthy controls were assessed. Clinical symptoms of patients (pain, allodynia, itching, and numbness) were assessed. MRN features (DRG volume (VDRG), the largest diameter (Dmax) of spinal nerves, signal intensity of DRG and spinal nerves (M-value)) were measured in all participants. Multilinear regression analysis was used to evaluate the relationship between the DRG morphology and clinical symptoms in patients.

Results

The volume and relative M-value of lesioned DRG in patients were significantly higher than those on the same side of healthy controls (p = 0.013, p < 0.001, respectively). The mean Dmax and relative M-value of spinal nerves on the lesioned side were significantly higher than those on the contralateral and same side of healthy controls (p < 0.0001, p = 0.0001, p = 0.0011, p = 0.0053, respectively). No difference was found between the mean VDRG of the lesioned and contralateral sides. Multiple linear regression analysis revealed that disease duration was independent risk factor for the maximum rate of VDRG differences (p = 0.013).

Conclusions

DRG and spinal nerves on the lesioned side are swollen during PHN. Disease duration is an independent risk factor for morphological differences in the lesioned DRG of PHN patients. This study provides important guidance for individualized treatments of PHN.

Keywords: Postherpetic neuralgia, Dorsal root ganglion, Magnetic resonance neurography, Morphology, Clinical symptoms

Introduction

Postherpetic neuralgia (PHN), the most common complication of Herpes zoster (HZ), is defined as pain persisting for >1 month after healing of herpetic skin lesions or pain persisting for >3 months following HZ onset (Johnson & Rice, 2014). Its duration varies from a few months to a lifetime (Kim, Kim & Jo, 2017).

DRG-based targeted therapies, such as radiofrequency modulation and drug injection, are common interventional treatments for PHN. However, their effect varies among individuals, often leading to unsatisfactory treatment results in patients with a prolonged disease duration (Johnson & Rice, 2014; Kim, Kim & Jo, 2017; Aggarwal et al., 2020). It remains unclear, whether the different treatment effects are related to DRG changes, what role the course of the disease (≤3 vs >3 months) plays, and whether there is a relationship between the different clinical phenotypes of PHN and DRG lesions.

Since in vivo examination of DRG in patients with PHN is challenging, previous studies mainly focused on cadavers and animals. A postmortem analysis of three patients with severe PHN showed a loss of ganglion cells, axons, myelin, and atrophy of the dorsal horn (Watson et al., 1991). Inflammatory responses in the spinal dorsal horn were found in another postmortem analysis of one patient with PHN for 5 weeks, manifesting as macrophage and lymphocyte infiltration, vacuolization of the dorsal horn, but without inflammation of the nerve roots (Moshayedi et al., 2018; Karmarkar, 2007). However, comparing anatomic and clinical studies is challenging because of the difference between cadavers and living humans, as well as delayed autopsies after clinical symptom onset. Understanding dynamic changes in DRG in vivo via noninvasive examinations is necessary for the clinical research and treatment of PHN.

Therefore, this study aimed to apply magnetic resonance neurography (MRN) for the evaluation of DRG morphology and inflammatory changes in patients with PHN, along with the morphological and inflammatory differences in the spinal nerves at the peripheral end of the DRG. We expected to (1) confirm that DRG and spinal nerves are critical in the pathogenesis of PHN and (2) clarify the correlation between clinical phenotypes and DRG imaging changes, thereby providing guidance for individualized treatments of PHN patients.

Materials and Methods

This case-control study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (2021S084). It is registered at ClinicalTrials.gov. It was written consent given by all subjects for inclusion before they participated in the study.

Study design and population

This study was designed with a statistical power of 80.14% using GPOWER software3.1 with the following parameters: two-tailed; α = 0.05; and n = 35. The study was conducted on 60 individuals. Thirty patients with PHN in the thoracic segments admitted to our hospital between January 2021 and February 2022, and 30 age-, sex-, height-, and weight-matched healthy controls were recruited. The patient inclusion criteria were age >18 years and pain lasting for at least 1 month after lesion crusting. The exclusion criteria were as follows: presence of severe, systemic, metabolic, or neurological diseases that could be correlated with peripheral polyneuropathies, namely multiple myeloma, diabetes mellitus, or thyroid disease; history of psychiatric diseases, other chronic pain, or substance abuse; failure or inability to complete MRN scans; and history of thoracic surgery and pain.

The primary objective was to evaluate differences in DRG volume between the lesioned side of patients and the same side of healthy controls. The secondary outcomes were to examine differences in DRG volume between the lesioned and contralateral sides, differences in the largest diameter (Dmax) of spinal nerves between the lesioned side of patients and the same side of healthy controls, differences in Dmax of the spinal nerves between the lesioned and contralateral sides, and correlations between clinical symptoms and differences in DRG (Fig. 1A).

Figure 1. Study flow chart and skin lesions locating.

Figure 1

(A) Study flow chart. (B) Locating and mapping areas of skin lesions, the most pain area (MPA), allodynia, itching and numbness (red: skin lesions, black: MPA, blue: allodynia, purple: itching, green: numbness).

Since DRG adjacent to the lesion segments may also be affected (Kramer et al., 2019), the volume and M-value of the DRG, as well as the Dmax and M-values of the spinal nerves of the first segment below or above the lesioned segments, were also evaluated.

Assessment of pain, allodynia, itching, numbness, and mapping

During the patient’s first visit, a numeric rating scale (NRS; 0 = no pain, 10 = worst pain imaginable) was used to evaluate the average daily pain of patients over the past 48 h. Four areas were mapped on the skin: (1) areas of skin lesions; (2) the most painful area (MPA); (3) areas of dynamic mechanic allodynia (DMA); and (4) areas of sensory disturbance (itching and numbness) (Fig. 1B).

Skin lesion areas were tested with linen tape and estimated using a parallelogram. MPA areas were delineated according to the patients’ descriptions. The distribution of DMA was measured by light stroking with a sterile swab from the normal skin towards the most painful area in steps of 1 cm at intervals of 1 s (Petersen & Rowbotham, 2010; Reda et al., 2013). The areas of itching and numbness were also tested by gently stroking the skin with a sterile swab in steps of 1 cm at intervals of 1 s or according to the patients’ descriptions. The intensity of itching was rated on a 0–10 NRS (0 = no itching, 10 = most itching imaginable). All markings were captured as photographs after obtaining patients’ consent.

Locating lesion dermatomes

The lesion dermatomes of all patients were located according to the schematic of cutaneous nerve distribution in the trunk (Netter, 2003) by two pain specialists with ≥10 years of experience (Xueqin Cao and Xianwei Zhang).

Imaging protocol

All patients underwent MRI scans before the start of treatment. We used a 3.0 Tesla MRI scanner (Magnetom Skyra, Siemens). All participants laid supine on the scanner bed with their thorax immobilized in a tight-fitting thoracic coil, and underwent MRN as follows: Three-dimensional T2-weighted sampling perfection with application-optimized contrasts using different flip-angle evolution short-tau inversion-recovery sequence of the spine was used for DRG and spinal nerve imaging: coronal plane, repetition time/echo time 3,000/178 ms, inversion time 220 ms, the field of view 305 × 240 mm2, matrix size 320 × 320, slice thickness 1.0 mm, slice number 60; no gap, voxel size 1.0 × 1.0 × 1.0 mm3, 50% phase over-sampling, and acquisition time 8 min 35 s; imaging the thoracic spine included all bilateral DRG and spinal nerves from the third upper to the third lower segment centered on the lesioned DRG and spinal nerves corresponding to the damaged dermatomes. All bilateral DRG and spinal nerves of the same segments were scanned in the healthy controls.

Image analysis

The DRG volumes were assessed using 3D-slicer version 5.0.3 (http://www.slicer.org/) and defined as the VDRG. Signal intensity in T2-weighted imaging (M-value) was measured to indirectly reflect inflammation of the DRG and spinal nerves. The Synapse 3D software package (version 5.0.3) was used to measure the Dmax of the spinal nerves and the M-values of the DRG and spinal nerves. Measurements of the M-value of the DRG were performed in the selected slice with the largest cross-sectional area. Dmax and M-values of the spinal nerves were measured in the selected slice with the largest diameter (Fig. 2). The imaging data were measured and then re-measured after 2 weeks by a radiologist (Donglin Wen) to assess intra-observer reliability. Another radiologist (Gang Wu) independently performed the measurements to assess inter-observer reliability. Both radiologists were blinded to the clinical data. Intra- and inter-observer reliability were evaluated through correlation coefficients (ICCs). ICCs > 0.75 indicated good agreement.

Figure 2. MRI of DRG and spinal nerve of patients with PHN.

Figure 2

(A) The DRG morphology in lesioned and contralateral side in patients with disease duration ≤3 or >3 months (arrowhead: lesioned side; solid arrow: contralateral side; patient number was showed in each image). (B) The largest cross-sectional area of DRGs were selected (solid arrow), the M value of DRG was measured (green arrow). (C) The largest diameter (hollow arrow) and M value of spinal nerve (green arrow) was measured.

Considering the influence of height and weight on the morphology of the DRG and spinal nerves, the maximum rate of VDRG difference (ΔVDRG = VDRG (lesioned side)–VDRG (contralateral side)/VDRG (contralateral side)) was used to evaluate the correlation between VDRG differences and clinical symptoms. The signal intensity on T2-weighted imaging of each patient’s normal disc was measured as a reference, and the relative M-values of the DRG and spinal nerves (MDRG/Mdisc and Mnerve/Mdisc, respectively) were used for assessment.

Treatment and follow-up

The patients’ treatment plans were solely formulated according to the patients’ clinical conditions. Patients were followed up via phone at 1-, 3-, and 6-months post-treatment to assess NRS ratings for pain and itching intensities.

Statistical analysis

Data analyses were performed using SPSS 22 software (SPSS Inc., Chicago, IL, USA). The normality of continuous variables was confirmed with Shapiro–Wilk tests, and the homogeneity of variance was evaluated using Levene’s test. Normally distributed data were described as χ¯ ± SD. The data were compared between the two groups using paired-samples or independent-samples t-tests. Non-normal data were described as the median (interquartile range), and between-group differences were examined using the Wilcoxon or Mann–Whitney U tests. Correlations among normally distributed continuous data were analyzed using Pearson’s correlation coefficient and simple linear regression. Non-normal continuous data and categorical variables were evaluated using Spearman’s correlation and the Chi-square test. Statistically significant variables were selected for multilinear regression analysis. The assumption of independence for the residuals was assessed using the Durbin–Watson test. The assumptions of normality and homogeneity of variance for residuals were assessed using histograms and residual plots, respectively. Multicollinearity was assessed using Pearson’s correlation coefficient statistics and by checking the variance inflation factor for the same dependent and independent variables. All statistical tests were two-sided, and statistical significance was set at p < 0.05.

Results

Characteristics of patients and healthy controls

The mean age of the patients was 60.7 ± 10.18 years. Forty-nine clinical lesion dermatomes were identified in 30 patients. Age, sex, height, and weight did not differ between the patient and healthy control groups (all p > 0.050). The demographic and clinical characteristics of the two groups are summarized in Tables 1 and 2, respectively. Intra-and inter observer reliability was evaluated through correlation coefficients and ICCs were 0.91 and 0.80, respectively, indicating good stability.

Table 1. Characteristics of postherpetic neuralgia (PHN) patients and healthy control group.

Characteristic PHN cases (n = 30) Healthy controls (n = 30) p
Mean age, years (per patient) 60.70 ± 10.18 58.13 ± 10.54 0.341
Sex, n; female/male 12/18 12/18
Mean height-cm (per patient) 163.4 ± 7.29 164.0 ± 7.22 0.598
Mean weight-kg (per patient) 61.1 ± 11.45 62.9 ± 7.91 0.468
Median disease durations (IQR)—months (per patient)
1 month<DD≤3 months
DD>3 months
2.65 (1.5–6.0)
18 (60%)
12 (40%)
Pain intensity— (NRS 010) (per patient) 6.9 ± 1.5
Total lesion dermatomes
1 month<DD≤3 months
DD>3 months
49
31
18
Mean lesion dermatome (per patient) 1.63 ± 0.49
Location of skin lesion
Left
Right
18 (60%)
12 (40%)
Allodynia 27 (90%)
Numbness 11 (36.67%)
Itching 15 (50%)

Note:

Continuous data are presented as means ± SDs or mean (IQR); data in parentheses are interquartile ranges. Categorical data are numerators; data in parentheses are percentages. DD, disease duration.

Table 2. Clinical characteristics of each patient.

Patients Age(y)/sex Location of lesion Disease duration
(months)
Pain intensity (NRS 0–10) Itching
(yes or no)
Itching intensity (NRS 0–10) Numbness
(yes or no)
Allodynia
(yes or no)
1 70/M L/T7–T8 1.5 8 Yes 7 No Yes
2 49/M R/T6–T7 2.5 5 Yes 3 Yes Yes
3 67/F L/T8 1.4 5 No 0 No Yes
4 66/M R/T11–T12 1.6 6 No 0 Yes Yes
5 57/M L/T2–T3 1.5 8 Yes 2 Yes Yes
6 47/F R/T5–T6 1.5 9 No 0 Yes Yes
7 57/M L/T11–T12 1.5 9 Yes 3 No Yes
8 63/F R/T7–T8 1.5 6 Yes 2 No Yes
9 70/M R/T4 1.7 6 Yes 2 Yes Yes
10 53/M L/T11–T12 1.5 6 Yes 2 No No
11 72/M R/T11–T12 1.5 9 No 0 No Yes
12 48/F L/T6–T7 1.5 8 No 0 No Yes
13 59/F L/T6 1.5 9 No 0 Yes No
14 82/F L/T6 2 7 No 0 No No
15 67/M R/T2–T3 2 5 Yes 2 No Yes
16 61/M L/T3 2.8 9 No 0 No Yes
17 36/M R/T2–T3 2.9 7 No 0 No Yes
18 69/F L/T8–T9 2.9 5 No 0 No Yes
19 61/M L/T2–T3 3.1 9 Yes 2 Yes Yes
20 53/F L/T3 3.5 7 Yes 3 No Yes
21 79/F R/T4–T5 4.5 8 Yes 3 Yes Yes
22 65/F R/T9–T10 4 8 Yes 3 Yes Yes
23 61/M L/T4 7 8 No 0 Yes Yes
24 67/M L/T3 6.5 6 No 0 No Yes
25 47/M L/T2 6 6 Yes 5 No Yes
26 59/M L/T2–T3 7.5 7 Yes 6 No Yes
27 52/M L/T8–T9 9.5 5 No 0 No Yes
28 51/F R/T11 15 7 Yes 3 Yes Yes
29 65/M R/T5 18 4 No 0 No Yes
30 68/F L/T2–T3 42 6 No 0 No Yes

Note:

M, male; F, female; T, level of thoracic vertebrae; L, left side of thoracic vertebrae; R, right side of thoracic vertebrae.

Comparison of DRG and spinal nerves between the lesioned side of patients and the same side of healthy controls

The mean VDRG and relative M-value of DRG were significantly higher in the lesioned side of patients than in the same side of healthy controls (p = 0.013, p < 0.001, respectively). The mean Dmax and relative M-value of the spinal nerves were significantly higher on the lesioned side of patients than on the same side of healthy controls (p < 0.001, p < 0.001, respectively) (Fig. 3).

Figure 3. Comparison of DRGs and spinal nerves between lesioned side of patients and healthy controls.

Figure 3

(A) The mean VDRG of DRGs in the lesioned side of patients were significantly more than that in the same side of healthy controls (19.2 ± 13.3 vs 14.85 ± 7.308, *p = 0.013). (B) The relative M value of DRGs in the lesioned side of patients were significantly more than that in the same side of healthy controls (2.03 ± 0.86 vs 1.42 ± 0.40, ****p < 0.001). (C) The mean Dmax of spinal nerves in the lesioned side of patients was significantly more than that in the same side of healthy controls (1.746 ± 0.47 vs 1.418 ± 0.34, ****p < 0.001). (D) The relative M value of spinal nerves in the lesioned side of patients was significantly more than that in the same side of healthy controls (1.96 ± 0.78 vs 1.04 ± 0.38, ****p < 0.001). Paired-samples t-tests was used to compare the data between two groups.

Comparison of DRG and spinal nerves between the lesioned and contralateral sides in patients

No difference was found in the mean VDRG and relative M-value of DRG between the lesioned and contralateral sides (p = 0.089, p = 0.715, respectively). The mean Dmax and relative M-value of the spinal nerves were significantly higher on the lesioned side than on the contralateral side (p = 0.001, p = 0.005, respectively) (Fig. 4).

Figure 4. Comparison of DRGs and spinal nerves between lesion and contralateral side in patients.

Figure 4

(A) No difference was found in the mean VDRG of DRG between the lesion and contralateral sides (19.2 ± 13.32 vs 16.05 ± 0.99, p = 0.089). (B) No difference was found in the relative M-value of DRG between the lesion and contralateral sides (2.03 ± 0.86 vs 2.06 ± 0.88, p = 0.715). (C) The mean Dmax of the spinal nerves was significantly higher on the lesioned side than on the contralateral side (1.746 ± 0.47 vs 1.511 ± 0.32, *p = 0.001). (D) The relative M-value of the spinal nerves was significantly higher on the lesioned side than on the contralateral side (1.958 ± 0.78 vs 1.709 ± 0.72, **p = 0.005). Paired-samples t-tests was used to compare the data between two groups.

Correlation of ΔVDRG with age, sex, disease duration, and skin lesion area

Age and sex were not correlated with ΔVDRG (p = 0.738 and p = 0.456, respectively). Disease duration and skin lesion area were significantly negatively correlated with ΔVDRG (r = −0.435, p = 0.003; r = −0.540, p = 0.002, respectively).

Correlation of ΔVDRG with allodynia, numbness, itching, pain severity, and itching severity

Itching and ΔVDRG were significantly positively correlated (r = 0.443, p = 0.014). The NRS values for pain and itching severity were not significantly associated with ΔVDRG (p = 0.929 and p = 0.228, respectively). Additionally, allodynia (p = 0.360) and numbness (p > 0.999) were not significantly correlated with ΔVDRG.

Effect of disease duration, area of skin lesion, and itching on ΔVDRG

Multiple linear regression analysis showed that itching and disease duration were independent risk factors for ΔVDRG (β = 0.376, p = 0.017; β = −0.388, p = 0.013, respectively). Skin lesion area was not significant independent risk factor for ΔVDRG (β = −0.163, p = 0.308) (Table 3).

Table 3. Effect of disease duration, area of skin lesion, and itching on ΔVDRG.

The results showed that the regression equation was significant (F = 6.508, ***p < 0.001). The disease duration (β = −0.388, p = 0.013) was a significant negative predictor of ΔVDRG, and the occurrence of pruritus (β = 0.376, p = 0.017) was a significant positive predictor of ΔVDRG. Area of skin lesion could not predict ΔVDRG. Together, these variables explain 43.2% of the variation in ΔVDRG.

Independent variable B β t p F Adjusted R2
Disease duration −0.381 −0.388 −2.685 0.013 6.508*** 0.432
Area of skin lesion −6.838 −0.163 −1.040 0.308
Appearance of itching 0.361 0.376 2.573 0.017

Note:

B, unstandardized regression coefficient; β, standardized regression coefficient.

Difference in morphology and M-value of bilateral DRG and spinal nerves in the first segment adjacent to lesion segments

No significant difference was found in DRG or spinal nerves between the two sides in the first segment adjacent to lesion segments (p > 0.05). Also, no significant difference was found in DRG or spinal nerves between the two sides in the third segment away from the lesion segments (p > 0.05).

NRS score of pain and itching during follow-up

No significant correlations were found between ΔVDRG and itching severity at 1-, 3-, and 6-months post-treatment (p = 0.097, p = 0.808, and p = 0.295, respectively). Similar results were observed for the correlations between ΔVDRG and pain severity at 1-, 3-, and 6-months post-treatment (p = 0.124, p = 0.790, and p = 0.295, respectively). However, patients with positive ΔVDRG recovered better than those with negative ΔVDRG. At 3 months post-treatment, all patients reported an NRS score of pain and itching of <5. Among the 12 patients with negative ΔVDRG, the incidence of NRS >3 was 25% (pain) and 8.3% (itching); this result was 16.7% (pain) and 0% (itching) in the 18 patients with positive ΔVDRG. At 6 months post-treatment, the NRS scores for pain and itching were <5. Among the 12 patients with negative ΔVDRG, the incidence of NRS >3 was 41.7% (pain) and 16.7% (itching); this result was 0% (pain) and 0% (itching) in the 18 patients with positive ΔVDRG.

Discussion

Advanced neuroimaging approaches have been dominating studies on PHN-related brain regions and pain modulation pathways (Davis et al., 2017; Gustin et al., 2011). Pathological changes in the brain structure and function in patients with PHN and deficits in ascending and descending pain modulation pathways were found (Chen et al., 2017; Li et al., 2020; Cao et al., 2017). Even though it is a major site of neuropathic pain signal transmission and maintenance, neuroimaging studies on DRG pathophysiology in PHN are lacking.

In this study, the VDRG and relative M-values of the DRG were significantly larger on the lesioned side of patients than on the same side of healthy controls; this indicated that the DRG on the lesioned side was swollen. However, no difference was found between the mean VDRG and relative M-values of the DRG on the lesioned and contralateral sides. These paradoxical results imply that the DRG on the contralateral side may have been swollen simultaneously.

Furthermore, multiple linear regression analysis showed that disease duration was negatively related to and an independent risk factor for ΔVDRG. This finding could be attributed to the stimulation of the DRG being ineffective in some PHN cases presenting with a prolonged disease duration. The mechanism underlying this change should be further investigated.

The mean Dmax and relative M-value of the spinal nerves were significantly higher in the lesioned side of patients than in the same side of healthy controls. Meanwhile, the mean Dmax and relative M-value of the spinal nerves were significantly higher in the lesioned than in the contralateral side. This suggests that the spinal nerves in the lesioned side were significant swollen during PHN, which may be the pathological mechanism of intercostal nerve block in patients with PHN.

The prevalence of postherpetic itch (PHI) in patients with PHN is high, ranging from 30% to 58% (van Wijck & Aerssens, 2017; Oaklander et al., 2003). The mechanism of PHI remains unclear, and itching may occur transiently at the time of rash healing or intensify as the pain subsides or persists for a long time as a sole symptom without adequate treatment. Preherpetic itching is correlated with PHN (Kramer et al., 2019; Koshy et al., 2018). In this study, multiple linear regression analysis showed that itching was an independent influencing factor for ΔVDRG. However, no significant correlation was observed between itch intensity and VDRG. These results suggest that the early onset of itching in patients with PHN might imply that it is difficult to treat and requires aggressive treatment.

Older age, female sex, and high pain intensity are regarded as critical predictors of PHN (Forbes et al., 2016b, 2016a). However, no significant correlation was observed between these factors and morphological features of the DRG or spinal nerves in this study, suggesting that they may not play an obvious role in the morphological changes in DRG and spinal nerves in patients with PHN. Previous research has suggested that the area of the skin lesion is a predictor of PHN (Wang, Zhang & Fan, 2020). In this study, although the skin lesion area correlated with ΔVDRG, it was not an independent risk factor for ΔVDRG. Furthermore, numbness and allodynia did not correlate with the morphological features of the DRG.

However, various mechanisms are involved in the process of PHN. According of many recent reports, pain (in its various forms, such as spontaneous pain, tactile allodynia etc.,) and itch are both presumably related to abnormal impulse initiation caused by resurgence of infection with the zoster virus. This begins in the DRG and then migrates to the skin (HZ), and amplified by central sensitization. But if the immune response is inadequate the virus goes on to sicken and eventually kill DRG neurons (Devor, 2018). The present study solely demonstrates the macroscopic morphological and signal intensity alterations of the DRG, while the correlation between microstructural changes and clinical symptoms necessitates additional investigation. Furthermore, the spinal dorsal horn and central mechanisms also play critical roles in PHN (Watson et al., 1991; Cao et al., 2017; Tansley et al., 2022). Whether an association exists between clinical symptoms and these mechanisms requires further studies.

This study has two limitations. First, the sample size was limited, which impedes the mechanistic investigation of PHN. Second, patients with pain for less than 3 months are part of the cohort (Li et al., 2020; Cao et al., 2017). Some studies have defined PHN as pain persisting for at least 3 months after the appearance of a rash (Johnson & Rice, 2014). Whether the current findings can be generalized to patients with PHN reporting pain beyond 3 months after rash onset should be verified in future studies.

Conclusions

In summary, we found that DRG and spinal nerves in the lesioned side were swollen significantly during PHN. Disease duration was an independent risk factor for morphological differences in the DRG on the lesioned side in patients with PHN. Moreover, itching might be an independent risk factor for morphological differences in the DRG on the lesioned side. These results provide critical guidance for individualized treatments of PHN.

Supplemental Information

Supplemental Information 1. Raw data.
DOI: 10.7717/peerj.15998/supp-1

Funding Statement

The authors received no funding for this work.

Contributor Information

Gang Wu, Email: tongjiwugang1984@qq.com.

Xianwei Zhang, Email: ourpain@163.com.

Additional Information and Declarations

Competing Interests

The authors declare that they have no competing interests.

Author Contributions

Xueqin Cao conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Bo Jiao performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Donglin Wen performed the experiments, prepared figures and/or tables, and approved the final draft.

Guangyou Duan conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Mi Zhang performed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Caixia Zhang analyzed the data, authored or reviewed drafts of the article, and approved the final draft.

Gang Wu performed the experiments, analyzed the data, prepared figures and/or tables, and approved the final draft.

Xianwei Zhang conceived and designed the experiments, authored or reviewed drafts of the article, and approved the final draft.

Human Ethics

The following information was supplied relating to ethical approvals (i.e., approving body and any reference numbers):

This study was approved by the Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China (Ethical Application Ref: 2021S084).

Data Availability

The following information was supplied regarding data availability:

The raw data are available in the Supplemental File.

References

  • Aggarwal et al. (2020).Aggarwal A, Suresh V, Gupta B, Sonthalia S. Post-herpetic neuralgia: a systematic review of current interventional pain management strategies. Journal of Cutaneous and Aesthetic Surgery. 2020;13:265–274. doi: 10.4103/JCAS.JCAS_45_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Cao et al. (2017).Cao S, Song G, Zhang Y, Xie P, Tu Y, Li Y, Yu T, Yu B. Abnormal local brain activity beyond the pain matrix in postherpetic neuralgia patients: a resting-state functional MRI study. Pain Physician. 2017;20:E303–E314. [PubMed] [Google Scholar]
  • Chen et al. (2017).Chen F, Chen F, Shang Z, Shui Y, Wu G, Liu C, Lin Z, Lin Y, Yu L, Kang D, Tao W, Li Y. White matter microstructure degenerates in patients with postherpetic neuralgia. Neuroscience Letters. 2017;656:152–157. doi: 10.1016/j.neulet.2017.07.023. [DOI] [PubMed] [Google Scholar]
  • Davis et al. (2017).Davis KD, Flor H, Greely HT, Iannetti GD, Mackey S, Ploner M, Pustilnik A, Tracey I, Treede R-D, Wager TD. Brain imaging tests for chronic pain: medical, legal and ethical issues and recommendations. Nature Reviews Neurology. 2017;13:624–638. doi: 10.1038/nrneurol.2017.122. [DOI] [PubMed] [Google Scholar]
  • Devor (2018).Devor M. Rethinking the causes of pain in herpes zoster and postherpetic neuralgia: the ectopic pacemaker hypothesis. Pain Report. 2018;3:e702. doi: 10.1097/PR9.0000000000000702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Forbes et al. (2016a).Forbes HJ, Bhaskaran K, Thomas SL, Smeeth L, Clayton T, Mansfield K, Minassian C, Langan SM. Quantification of risk factors for postherpetic neuralgia in herpes zoster patients: a cohort study. Neurology. 2016a;87:94–102. doi: 10.1212/WNL.0000000000002808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Forbes et al. (2016b).Forbes HJ, Thomas SL, Smeeth L, Clayton T, Farmer R, Bhaskaran K, Langan SM. A systematic review and meta-analysis of risk factors for postherpetic neuralgia. Pain. 2016b;157:30–54. doi: 10.1097/j.pain.0000000000000307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Gustin et al. (2011).Gustin SM, Peck CC, Wilcox SL, Nash PG, Murray GM, Henderson LA. Different pain, different brain: thalamic anatomy in neuropathic and non-neuropathic chronic pain syndromes. Journal of Neuroscience. 2011;31:5956–5964. doi: 10.1523/JNEUROSCI.5980-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Johnson & Rice (2014).Johnson RW, Rice ASC. Clinical practice. Postherpetic neuralgia. The New England Journal of Medicine. 2014;371:1526–1533. doi: 10.1056/NEJMcp1403062. [DOI] [PubMed] [Google Scholar]
  • Karmarkar (2007).Karmarkar A. New advances in pathophysiology of PHN: are they clinically relevant? Pain. 2007;130:195–196. doi: 10.1016/j.pain.2007.04.008. [DOI] [PubMed] [Google Scholar]
  • Kim, Kim & Jo (2017).Kim E, Kim K, Jo D. Retrospective study pulsed radiofrequency to the dorsal root ganglion in acute herpes zoster and postherpetic neuralgia. Pain Physician. 2017;20:411–418. doi: 10.1056/NEJMcp1403062. [DOI] [PubMed] [Google Scholar]
  • Koshy et al. (2018).Koshy E, Mengting L, Kumar H, Jianbo W. Epidemiology, treatment and prevention of herpes zoster: a comprehensive review. Indian Journal of Dermatology, Venereology and Leprology. 2018;84:251–262. doi: 10.4103/ijdvl.IJDVL_1021_16. [DOI] [PubMed] [Google Scholar]
  • Kramer et al. (2019).Kramer S, Baeumler P, Geber C, Fleckenstein J, Simang M, Haas L, Schober G, Pfab F, Treede R-D, Irnich D. Somatosensory profiles in acute herpes zoster and predictors of postherpetic neuralgia. Pain. 2019;160:882–894. doi: 10.1097/j.pain.0000000000001467. [DOI] [PubMed] [Google Scholar]
  • Li et al. (2020).Li H, Li X, Feng Y, Gao F, Kong Y, Hu L. Deficits in ascending and descending pain modulation pathways in patients with postherpetic neuralgia. Neuroimage. 2020;221:117186. doi: 10.1016/j.neuroimage.2020.117186. [DOI] [PubMed] [Google Scholar]
  • Moshayedi et al. (2018).Moshayedi P, Thomas D, Rinaldo CR, Moossy JJ, Maroon JC, Murdoch GH, Hamilton RL, Homayoun H. Subacute histopathological features in a case of varicella zoster virus myelitis and post-herpetic neuralgia. Spinal Cord Series and Cases. 2018;4:33. doi: 10.1038/s41394-018-0068-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Netter (2003).Netter FH. Atlas of Human Anatomy. Third Edition. Teterboro: Icon Learning Systems; 2003. [Google Scholar]
  • Oaklander et al. (2003).Oaklander AL, Bowsher D, Galer B, Haanpää M, Jensen MP. Herpes zoster itch: preliminary epidemiologic data. Journal of Pain. 2003;4:338–343. doi: 10.1016/s1526-5900(03)00637-0. [DOI] [PubMed] [Google Scholar]
  • Petersen & Rowbotham (2010).Petersen KL, Rowbotham MC. Natural history of sensory function after herpes zoster. Pain. 2010;150:83–92. doi: 10.1016/j.pain.2010.04.005. [DOI] [PubMed] [Google Scholar]
  • Reda et al. (2013).Reda H, Greene K, Rice FL, Rowbotham MC, Petersen KL. Natural history of herpes zoster: late follow-up of 3.9 years (N=43) and 7.7 Years (N=10) Pain. 2013;154:2227–2233. doi: 10.1016/j.pain.2013.04.015. [DOI] [PubMed] [Google Scholar]
  • Tansley et al. (2022).Tansley S, Gu N, Guzmán AU, Cai W, Wong C, Lister KC, Muñoz-Pino E, Yousefpour N, Roome RB, Heal J, Wu N, Castonguay A, Lean G, Muir EM, Kania A, Prager-Khoutorsky M, Zhang J, Gkogkas CG, Fawcett JW, Diatchenko L, Ribeiro-da-Silva A, De Koninck Y, Mogil JS, Khoutorsky A. Microglia-mediated degradation of perineuronal nets promotes pain. Science. 2022;377:80–86. doi: 10.1126/science.abl6773. [DOI] [PubMed] [Google Scholar]
  • van Wijck & Aerssens (2017).van Wijck AJM, Aerssens YR. Pain, itch, quality of life, and costs after herpes zoster. Pain Practice. 2017;17:738–746. doi: 10.1111/papr.12518. [DOI] [PubMed] [Google Scholar]
  • Wang, Zhang & Fan (2020).Wang X-X, Zhang Y, Fan B-F. Predicting postherpetic neuralgia in patients with herpes zoster by machine learning: a retrospective study. Pain Therapy. 2020;9:627–635. doi: 10.1007/s40122-020-00196-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Watson et al. (1991).Watson CPN, Deck JH, Morshead C, Van der Kooy D, Evans RJ. Post-herpetic neuralgia: further post-mortem studies of cases with and without pain. Pain. 1991;44:105–117. doi: 10.1016/0304-3959(91)90124-G. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Information 1. Raw data.
DOI: 10.7717/peerj.15998/supp-1

Data Availability Statement

The following information was supplied regarding data availability:

The raw data are available in the Supplemental File.


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