Clinical and biochemical alterations in tremor: evidence from serum elements, blood counts, and liver function: a cross-sectional study
Sections
Open Access Original Article
Clinical and biochemical alterations in tremor: evidence from serum elements, blood counts, and liver function: a cross-sectional study

Affiliation:

1Guangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, College of Medical Laboratory and Biotechnology, Guilin Medical University, Guilin 541004, Guangxi, China

2Clinical Laboratory, the First Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi, China

Yu-Jie Zhao
1,2

Affiliation:

1Guangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, College of Medical Laboratory and Biotechnology, Guilin Medical University, Guilin 541004, Guangxi, China

2Clinical Laboratory, the First Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi, China

Mei Chen
1,2

Affiliation:

1Guangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, College of Medical Laboratory and Biotechnology, Guilin Medical University, Guilin 541004, Guangxi, China

2Clinical Laboratory, the First Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi, China

Xiao-Hui Huang
1,2

Affiliation:

1Guangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, College of Medical Laboratory and Biotechnology, Guilin Medical University, Guilin 541004, Guangxi, China

2Clinical Laboratory, the First Affiliated Hospital of Guilin Medical University, Guilin 541001, Guangxi, China

Shu-Er Liu
1,2

Affiliation:

1Guangxi Key Laboratory of Multimodal Biomarkers and Precision Diagnosis, College of Medical Laboratory and Biotechnology, Guilin Medical University, Guilin 541004, Guangxi, China

Email: zliu1111@163.com

ORCID: https://orcid.org/0000-0003-4158-6768

Zheng Liu
1*

Explor Med. 2026;7:1001414 DOI: https://doi.org/10.37349/emed.2026.1001414

Received: January 12, 2026 Accepted: April 27, 2026 Published: June 12, 2026

Academic Editor: Hua Su, University of California, USA

Abstract

Aim: Tremor is one of the most common neurological movement disorders, arising from dysfunction in the neuromuscular system. However, comprehensive analyses of peripheral blood elements, red blood cells (RBC) and white blood cells (WBC) counts, as well as liver and kidney function in patients with tremor remain limited. This cross-sectional study investigated alterations in serum elements, complete blood counts, and liver function in patients with tremor. The study sought to identify independent risk factors and evaluate their diagnostic performance.

Methods: Blood samples from 79 patients with tremor and 82 healthy controls were analyzed. Serum elements, RBC, WBC, platelet (PLT), liver function, and renal function were measured using the QL8000 element analyzer, XN 2800 automated hematology analyzer, and Roche Cobas 8000 system.

Results: Serum copper (Cu) and lead (Pb) levels were significantly elevated in tremor patients. These patients also showed increased monocytes, decreased eosinophils, and impaired liver function, including elevated aspartate aminotransferase and globulin with reduced albumin.

Conclusions: Tremor patients show distinct alterations in Cu, Pb, monocyte counts, eosinophil counts, and liver function markers. These findings suggest that these parameters may serve as potential diagnostic indicators and therapeutic targets. Cu and Pb were identified as independent risk factors, and their combination significantly improved diagnostic efficiency.

Keywords

tremor, serum elements, complete blood count, liver function, renal function

Introduction

Tremor is the most common movement disorder, characterized by rhythmic, involuntary muscle contractions that cause shaking, most frequently in the hands [1]. According to the 2018 Consensus Statement on the Classification of Tremors (CS-2018), tremor is defined as “an involuntary, rhythmic, oscillatory movement of a body part” [2]. While hand tremors are the most prevalent, the condition may also involve the arms, legs, head, or vocal cords [3]. Tremor syndromes arise from diverse etiologies, and a single etiology may lead to different clinical subtypes. Neurological disorders such as Parkinson’s disease, Alzheimer’s disease, and other neurodegenerative conditions are well-recognized causes, primarily due to disrupted communication between nerves and muscles [4]. Despite extensive research, treatment remains challenging, and the pathophysiological mechanisms underlying tremor are not fully understood.

Recent studies suggest that alterations in serum element concentrations may play a role in tremor pathogenesis by affecting neuromuscular function. Elements such as calcium (Ca), magnesium (Mg), zinc (Zn), iron (Fe), and copper (Cu) have been shown to influence tremor occurrence [5, 6], as they are essential for neural development and synaptic processes [7]. For example, Mg and Ca regulate neuronal excitability, synaptic vesicle release, and neurotransmitter receptor function [8, 9]. Fe is required for myelination and neurotransmitter synthesis, whereas Cu is involved in neurotransmitter production and antioxidant defense [10, 11]. However, systematic analyses of serum elements and their relationship with other physiological parameters in tremor patients remain limited, and no diagnostic markers for essential tremor (ET) are currently available [12].

In this study, we analyzed blood samples from 79 patients with tremor and 82 healthy controls to evaluate serum concentrations of Cu, Zn, Ca, Mg, Fe, and lead (Pb). In addition, complete blood count (CBC), liver function, and renal function were assessed. This comprehensive approach aims to clarify the potential contributions of altered element levels and physiological markers to tremor pathogenesis, and to identify possible diagnostic indicators or therapeutic targets.

Materials and methods

Subjects

A total of 79 tremor patients were enrolled from the Department of Neurology at the First Affiliated Hospital of Guilin Medical University between January 2021 and January 2025. The inclusion criteria were as follows: (1) age ≥ 18 years; (2) clinical diagnosis of tremor confirmed by a neurologist; (3) first-time diagnosis of ET with unilateral or bilateral tremor of undetermined significance; (4) absence of other neurological signs; (5) symptom duration exceeding 3 years; (6) no use of tremor-suppressing medications. The exclusion criteria were as follows: (1) sudden onset or rapid disease progression (defined as only one or two tremor episodes occurring more than one month apart); (2) presence of significant brain lesions that could cause tremor or mood disturbances; (3) past history of psychosis; (4) adverse drug reactions; (5) definite diagnosis of Parkinson’s disease or drug-induced tremor; (6) diagnosis of Wilson’s disease or other conditions that may affect serum biomarkers. Inclusion criteria for healthy controls: (1) no history of tremor or any movement disorder; (2) no diagnosed neurological disorders (e.g., Parkinson’s disease, Wilson’s disease, ET); (3) no chronic diseases known to affect serum biomarkers (e.g., liver disease, kidney disease, diabetes mellitus, hypertension); (4) no use of medications that may influence tremor or serum metal levels (e.g., dopamine antagonists, beta-blockers, chelating agents); (5) no occupational or environmental exposure to heavy metals (e.g., smelting, battery manufacturing, welding) within the past year; (6) age- and sex-matched to the patient group. The diagnosis was based on a review of their medical history, symptoms, and a physical examination, in accordance with the Consensus Statement on the Classification of Tremors 2018 [13]. A control group of 82 healthy individuals, matched for age and gender with the patients, was also included. Figure 1 describes the experimental design of this study.

Diagram of the experimental design.

This study analyzed 79 tremor patients and 82 healthy individuals, comparing alterations in serum elements, red blood cells (RBC) indicators, white blood cells (WBC) indicators, platelet (PLT) indicators, as well as liver and renal function.

Clinical biochemical testing

All blood samples were collected after an overnight fast of at least 8 hours, and the blood collection time was controlled within 60 seconds. Venous blood samples (5 mL) were collected from all subjects after fasting. These samples were drawn into evacuated blood collection tubes containing heparin. The serum elements, including Zn, Ca, Fe, and Pb, were detected using a QL8000 elements analyzer from Jinan Qili Optoelectronic Technology Co., Ltd, China. Cu and Mg levels were measured using polarography. Biochemical tests for liver and renal function indicators, including total bilirubin (TBIL), direct-reacting bilirubin (DBIL), indirect bilirubin (IBIL), total protein (TP), albumin (Alb), globulin (Glo), Alb/Glo (A/G), alkaline phosphatase (ALP), gamma-glutamyl transferase (γ-GT), alanine aminotransferase (ALT), aspartate aminotransferase (AST), blood urea nitrogen (BUN), creatinine (Cr), uric acid (UA), glomerular filtration rate (GFR), and cystatin C (CysC), were carried out using a Roche Diagnostics Cobas 8000 analyzer and corresponding methods.

CBC testing

A venous blood sample (5 mL) was collected in a vacuum tube containing EDTA-K2. The RBC, hemoglobin (Hb), WBC, lymphocyte, monocyte, neutrophil, eosinophil, basophil, and PLT were analyzed using the XN 2800 automated hematology analyzer from Sysmex Corporation. Hematocrit (HCT) was analyzed and measured using pulse signals. The red cell distribution width standard deviation (RDW-SD) and coefficient of variation (RDW-CV) were analyzed based on histograms. Mean corpuscular volume (MCV), mean corpuscular Hb (MCH), mean corpuscular Hb concentration (MCHC), PLT distribution width (PDW), mean PLT volume (MPV), and PLT HCT (PCT) were calculated.

Statistical analysis

Categorical variables were presented as frequencies. Continuous variables were expressed as mean ± SD or median (interquartile range, IQR) based on the results of the Shapiro-Wilk normality test. For data following a normal distribution, mean ± SD was used, and differences between groups were compared using the t-test, with t-values and P-values reported. For data not following a normal distribution, median (IQR) was used, and intergroup differences were compared using the Mann-Whitney U test. Univariate logistic regression analysis was performed. Variables with P < 0.05 and a low proportion of missing values were then selected to explore independent risk factors (multivariate logistic regression). Receiver operating characteristic (ROC) analysis was performed using the rms and pROC packages, and visualization was conducted using the ggplot2 package. Differences were considered statistically significant at P < 0.05. All statistical analyses were performed using SPSS version 20.0 (SPSS Inc., Chicago, IL, USA) and R (Version 4.5.3).

Results

Demographic data of participants

During the study period, 79 patients with tremor and 82 healthy individuals were registered. The average age of the tremor patients was 42.99 ± 18.20 years, while the average age of the healthy individuals was 38.87 ± 14.65 years. Among the tremor patients, 37 were female, and among the healthy individuals, 39 were female (Table 1). There were no significant differences in demographic characteristics between the tremor patients and the healthy controls (P > 0.05).

 Characteristics of the participant.

VariableTremor (N = 79)Healthy control (N = 82)P-Value
Ages42.99 ± 18.2038.87 ± 14.650.104
Sex, N0.927
        Male4243
        Females3739
Diagnostic subtype, N-
        Essential tremor (ET)28-
        Tremor of undetermined significance51-

Comparison of elements in patients with tremor and healthy individuals

As shown in Table 2, the levels of Cu (16.41 µmol/L vs. 10.59 µmol/L, P < 0.001) and Pb (23.01 µg/L vs. 14.86 µg/L, P < 0.001) are significantly increased in patients with tremor. The levels of Zn and Fe in patients with tremor are higher than those in healthy individuals, while Mg is lower than in healthy individuals (P > 0.05).

 Comparison of elements between tremor patients and healthy controls.

FeatureTremor/NHealthy control/NZP-ValueReference range
Cu, µmol/L16.41 (10.69, 24.29)/7910.59 (9.93, 12.40)/825.375< 0.0019–29
Zn, µmol/L120.10 (80.66, 125.78)/78119.50 (77.75, 126.40)/820.2220.82438–165
Ca, µmol/L1.24 (1.14, 1.33)/781.24 (1.12, 1.39)/82–0.7460.4561.05–1.80
Mg, µmol/L1.21 (0.88, 1.34)/791.24 (1.12, 1.36)/82–1.8820.0600.75–1.90
Fe, µmol/L9.42 (7.64, 10.75)/788.79 (7.35, 10.08)/821.1660.2446.0–12
Pb, µg/L23.01 (13.43, 41.12)/7814.86 (11.60, 20.56)/824.172< 0.0010–100

Note: N refers to the number of participants who completed this test.

Comparison of CBC between tremor patients and healthy controls

As shown in Table 3, the levels of monocytes (0.49 × 109/L vs. 0.37 × 109/L, P < 0.001) are significantly increased in patients with tremor, while eosinophils (0.11 × 109/L vs. 0.17 × 109/L, P = 0.023) and PDW (10.15 fL vs. 16.00 fL, P < 0.001) are significantly decreased. The RBC, RDW-SD, and MPV levels in patients with tremor were higher than those in healthy individuals, while the levels of Hb, HCT, MCV, MCH, MCHC, WBC, lymphocyte, neutrophil, PLT, and PCT are lower (P > 0.05).

 Comparison of CBC between tremor patients and healthy controls.

FeatureTremor/N = 51Healthy control/N = 80ZP-ValueReference range
RBC indicators
RBC (× 1012/L)4.98 (4.57, 5.33)4.89 (4.59, 5.43)–0.2240.8234–5.5
Hb (g/L)143.00 (128.00, 156.00)144.00 (134.00, 158.00)–0.8400.401130–175
HCT0.43 (0.40, 0.47)0.44 (0.42, 0.48)–1.0080.3140.4–0.54
MCV (fL)89.20 (86.00, 92.30)90.20 (88.30, 92.85)–1.4070.15982–94
MCH (pg)29.60 (27.90, 30.80)29.80 (28.70, 30.80)–0.7910.42927–32
MCHC (g/L)326.00 (321.00, 335.00)329.00 (323.25, 332.75)–0.2690.788320–360
RDW-SD (fL)41.80 (39.60, 44.30)41.05 (39.45, 42.70)1.0760.28237–54
RDW-CV0.13 (0.12, 0.13)0.13 (0.13, 0.13)–1.2670.2050.11–0.16
WBC indicators
WBC (× 109/L)6.13 (5.46, 7.41)6.22 (5.47, 7.38)–0.4370.6624–10
Lymphocyte (× 109/L)1.96 (1.66, 2.40)2.10 (1.71, 2.50)–1.0760.2821–3.7
Monocyte (× 109/L)0.49 (0.41, 0.62)0.37 (0.28, 0.46)4.938< 0.0010–0.7
Neutrophil (× 109/L)3.39 (2.73, 4.47)3.65 (2.92, 4.49)–0.9610.3371.5–7
Eosinophil (× 109/L)0.11 (0.07, 0.23)0.17 (0.10, 0.24)–2.2660.0230–0.4
Basophil (× 109/L)0.03 (0.02, 0.04)0.03 (0.02, 0.04)–0.7960.4260–0.1
PLT indicators
PLT (× 109/L)252.00 (212.00, 289.00)264.00 (223.00, 287.00)–0.8100.418100–300
PDW (fL)10.15 (9.08, 11.72)16.00 (15.80, 16.28)–9.574< 0.00110–15
MPV (fL)9.50 (8.90, 10.23)9.40 (8.60, 9.98)1.0970.2736–15
PCT0.24 (0.20, 0.27)0.25 (0.21, 0.27)–0.4040.6860.11–0.28

Note: N refers to the number of participants who completed this test.

Comparison of liver and renal function between tremor patients and healthy controls

As shown in Table 4, the levels of Glo (30.70 g/L vs. 29.30 g/L, P = 0.001) and AST (19.30 U/L vs. 17.60 U/L, P = 0.007) are significantly increased in patients with tremor, while TBIL (9.10 µmol/L vs. 10.45 µmol/L, P = 0.042), IBIL (5.60 µmol/L vs. 6.45 µmol/L, P = 0.044), Alb (44.10 g/L vs. 46.10 g/L, P = 0.001), and A/G (1.41 vs. 1.57, P < 0.001) are significantly decreased. The levels of TP, ALP, ALT, BUN, UA, and CysC are increased, while DBIL, γ-GT, Cr, and GFR are decreased.

 Comparison of liver and renal function between tremor patients and healthy controls.

FeatureTremor/NHealthy control/NZP-ValueReference range
Liver function
TBIL (µmol/L)9.10 (5.80, 12.47)/6510.45 (8.00, 13.20)/80–2.0300.0420–23
DBIL (µmol/L)3.40 (2.68, 4.91)/653.75 (3.03, 4.90)/80–1.3720.1700–8
IBIL (µmol/L)5.60 (3.20, 8.28)/656.45 (4.90, 8.85)/80–2.0180.0440–15
TP (g/L)74.80 (73.00, 78.10)/6574.75 (72.80, 77.89)/820.5950.55265–85
Alb (g/L)44.10 (41.90, 46.75)/6546.10 (44.08, 47.93)/82–3.3580.00140–55
Glo (g/L)30.70 (28.60, 33.25)/6529.30 (27.03, 31.40)/823.4150.00120–40
A/G1.41 (1.32, 1.61)/651.57 (1.46, 1.73)/82–4.371< 0.0011.2–2.4
ALP (U/L)74.80 (62.45, 90.28)/6465.00 (55.00, 80.75)/321.8850.05945–135
γ-GT (U/L)18.00 (14.70, 24.00)/2720.00 (14.00, 25.00)/19–0.4690.6390.001–45
ALT (U/L)15.30 (11.55, 23.65)/6514.05 (10.38, 23.45)/820.1930.8470–40
AST (U/L)19.30 (16.75, 24.00)/6517.60 (14.40, 21.03)/822.7030.0070–35
Renal function
BUN (µmol/L)4.65 (3.78, 5.43)/464.35 (3.70, 5.33)/820.4320.4323.2–7.5
Cr (µmol/L)71.50 (60.00, 79.00)/4673.00 (60.00, 85.25)/82–0.4170.67644–115
UA (µmol/L)351.50 (271.00, 394.00)/46335.00 (279.25, 398.25)/80–0.1090.913110–420
GFR (mL/min/1.73 m2)85.29 (73.88, 100.41)/2691.15 (80.77, 105.13)/12–0.8950.37669.22–170.92
CysC (mg/L)0.90 (0.80, 1.01)/250.87 (0.77, 0.96)/120.7300.4710.51–1.09

Note: N refers to the number of participants who completed this test.

Univariate and multivariate logistic regression analysis for independent risk factors

As shown in Tables 5 and 6, univariate logistic regression analyses adjusted for age and sex revealed that Cu (OR = 1.256, 95% CI 1.153–1.368, P < 0.001), Pb (OR = 1.065, 95% CI 1.034–1.097, P < 0.001), Glo (OR = 1.240, 95% CI 1.096–1.402, P = 0.001), and AST (OR = 1.068, 95% CI 1.006–1.134, P = 0.030) were risk factors for tremor, whereas monocyte, PDW (OR = 0.068, 95% CI 0.012–0.373, P = 0.002), TBIL (OR = 0.923, 95% CI 0.849–1.003, P = 0.057), IBIL (OR = 0.888, 95% CI 0.794–0.994, P = 0.039), Alb (OR = 0.776, 95% CI 0.669–0.901, P = 0.001), and A/G (OR = 0.010, 95% CI 0.001–0.094, P < 0.001) were protective factors. Subsequent multivariate logistic regression analysis demonstrated that only Cu (OR = 1.206, 95% CI 1.095–1.327, P < 0.001) and Pb (OR = 1.054, 95% CI 1.016–1.093, P = 0.005) were independent risk factors for tremor. As shown in Table 7, there were no differences in laboratory parameters between patients with ET and those with tremor of undetermined significance; therefore, no subgroup analysis was performed based on ET and tremor of undetermined significance. ROC analysis showed that the area under the curve (AUC) for the combination (0.799) of Cu and Pb was larger than that for Cu (0.743) or Pb (0.691) alone (Figure 2).

 Univariate logistic regression analysis for potential risk factors.

GroupsOR (95% CI)P-ValueOR (95% CI)*P-Value*
Cu1.246 (1.147–1.353)< 0.0011.256 (1.153–1.368)< 0.001
Pb1.066 (1.035–1.098)< 0.0011.065 (1.034–1.097)< 0.001
Monocyte371.383 (22.997–599.534)< 0.001529.891 (27.264–10,298.788)< 0.001
Eosinophil0.255 (0.019–3.473)0.3050.195 (0.013–3.026)0.243
PDW (fL)0.071 (0.015–0.331)0.0010.068 (0.012–0.373)0.002
TBIL0.929 (0.861–1.002)0.0570.923 (0.849–1.003)0.057
IBIL0.897 (0.809–0.995)0.0400.888 (0.794–0.994)0.039
Alb0.808 (0.716–0.912)0.0010.776 (0.669–0.901)0.001
Glo1.233 (1.098–1.385)< 0.0011.240 (1.096–1.402)0.001
A/G0.021 (0.003–0.139)< 0.0010.010 (0.001–0.094)< 0.001
AST1.071 (1.011–1.135)0.0201.068 (1.006–1.134)0.030

* Adjusted for age and sex.

 Multivariate logistic regression analysis for independent risk factors.

GroupsOR (95% CI)P-ValueOR (95% CI)*P-Value*
Cu1.221 (1.111–1.341)< 0.0011.206 (1.095–1.327)< 0.001
Pb1.047 (1.012–1.084)0.0081.054 (1.016–1.093)0.005
Alb0.849 (0.489–1.476)0.5630.801 (0.442–1.452)0.465
TBIL1.237 (0.636–2.405)0.5311.177 (0.591–2.341)0.643
IBIL0.691 (0.283–1.685)0.4160.712 (0.284–1.786)0.469
Glo1.429 (0.617–3.309)0.4041.464 (0.606–3.534)0.397
A/G13.308 (0.001–72,049,940.92)0.7449.385 (0.001–98,099,502.09)0.786
AST1.047 (0.965–1.136)0.2691.044 (0.962–1.133)0.305

* Adjusted for age and sex.

 Comparison of laboratory parameters between ET and tremor of undetermined significance.

GroupsETTremort/ZP-Value*
Cu16.34 (10.74, 26.91)16.41 (10.53 ,23.66)765.000.601
Pb21.06 (10.38, 33.89)26.85 (15.27, 46.34)614.000.370
Monocyte0.49 (0.36, 0.63)0.50 (0.43, 0.62)264.000.380
Eosinophil0.10 (0.05, 0.23)0.11 (0.08, 0.23)260.500.340
PDW (fL)11.00 (8.85, 11.78)9.95 (9.28, 11.58)314.500.774
TBIL9.10 (6.90, 13.70)9.10 (5.35, 12.25)531.000.510
IBIL6.53 ± 3.345.83 ± 3.130.8460.401
Alb44.67 ± 2.8044.09 ± 3.460.6880.494
Glo30.50 (27.80, 32.60)31.30 (29.23, 34.25)394.000.222
A/G1.49 ± 0.221.41 ± 0.241.4430.154
AST21.60 (19.00, 24.10)18.20 (16.05, 24.13)603.000.100

Receiver operating characteristic (ROC) curves of independent risk factors for distinguishing tremor patients from healthy controls. (A) ROC curve of serum copper (Cu), with an area under the curve (AUC) of 0.743; (B) ROC curve of serum lead (Pb), with an AUC of 0.691; (C) ROC curve of the combination of Cu and Pb, with an AUC of 0.799. The combination of Cu and Pb demonstrated improved diagnostic efficiency compared to either marker alone.

Discussion

This cross-sectional study yielded two main findings. First, Cu and Pb were identified as independent risk factors for both ET and tremor of undetermined significance. Second, no significant differences in laboratory parameters were observed between the two patient groups. However, compared to healthy controls, tremor patients showed significant alterations in several other laboratory parameters, including increased monocytes, decreased eosinophils, decreased PDW, decreased TBIL, decreased IBIL, decreased Alb, increased Glo, decreased A/G, and increased AST. Despite these differences, only Cu and Pb emerged as independent risk factors capable of distinguishing tremor patients from healthy controls in the multivariate analysis. The observed alterations in other laboratory parameters may therefore be influenced by Cu and Pb, a possibility that will be explored further in the following section.

In this study, we found that serum Cu and Pb levels were elevated in tremor patients. Cu is a trace element present in all tissues and is required for cellular respiration, neurotransmitter biosynthesis, and connective tissue strength [14]. Cu is also a cofactor for numerous enzymes and plays an important role in central nervous system development [15]. Tremors can be associated with Cu metabolism disorders. For instance, Wilson’s disease is a genetic disorder that is associated with the accumulation of Cu in the liver and brain, resulting in tremors [16]. Studies have found that Cu accumulation in the basal ganglia could be related to Parkinsonian symptoms [17]. The mechanism of this may involve free radical production, resulting in mitochondrial damage, DNA breakage, and neuronal injury [18]. Pb is a ubiquitous environmental neurotoxicant suspected to be a risk factor for neurological disorders [19]. Patients with tremors had a significant increase in monocytes and a decrease in eosinophils and PDW. Monocytes are a type of WBC that play a crucial role in fighting infections and maintaining the immune response [20]. High levels of monocytes and low levels of eosinophils indicate an ongoing immune response or inflammation [21]. A high monocyte count indicates that the immune system is working to destroy an infection or could be a sign of physical or emotional stress [22]. We speculate that the increase in monocytes in tremor patients is also related to the alteration of serum Cu levels. A study found that a high concentration of Cu was associated with elevated monocyte counts [23]. The mechanism is that increased Cu levels can trigger an inflammatory response in the body, leading to a rise in monocyte count [24].

Our research results indicate an increase in Glo and AST, along with a decrease in TBIL, IBIL, Alb, and A/G, suggesting impaired liver function in tremor patients. Tremors can sometimes be linked to liver function, particularly in cases of a condition called “flapping tremor”. This condition, characterized by involuntary jerking movements of the hands and wrists, is a neurological disorder associated with liver diseases such as cirrhosis or hepatitis [25]. When the liver is impaired and unable to filter toxins efficiently, these toxins can accumulate in the blood and travel to the brain, disrupting brain function and leading to symptoms like tremor [26]. We speculate that high serum Cu and Pb may contribute to liver damage. Many studies have confirmed the association between excessive serum Cu exposure and impairments of liver and renal function [27]. Elevated Cu levels can lead to its deposition in the kidneys, causing nephrotoxicity and resulting in interstitial damage [28]. Pb is a highly poisonous metal that affects almost every organ in the body and interferes with various biological processes [29]. For example, AST and ALT levels have been reported to increase due to chronic exposure to Pb, while the levels of TG, Alb, and Glo decrease [30]. High serum Pb can cause damage to the kidneys, a condition known as Pb-related nephrotoxicity [31].

In conclusion, this study comprehensive analysis of the alterations in serum elements, RBC, WBC, PLT, liver function, and renal function in tremor patients. The findings revealed changes in the levels of serum Cu and Pb, along with monocyte, eosinophil, and liver function indicators. Cu and Pb were identified as independent risk factors for tremor. The underlying causes of these changes need further investigation. Additionally, these findings could provide valuable insights for the prevention, diagnosis, and treatment of tremor.

Abbreviations

A/G: albumin/globulin

Alb: albumin

ALP: alkaline phosphatase

ALT: alanine aminotransferase

AST: aspartate aminotransferase

AUC: area under the curve

BUN: blood urea nitrogen

Ca: calcium

CBC: complete blood count

Cr: creatinine

Cu: copper

CysC: cystatin C

DBIL: direct-reacting bilirubin

ET: essential tremor

Fe: iron

GFR: glomerular filtration rate

Glo: globulin

Hb: hemoglobin

HCT: hematocrit

IBIL: indirect bilirubin

IQR: interquartile range

MCH: mean corpuscular hemoglobin

MCHC: mean corpuscular hemoglobin concentration

MCV: mean corpuscular volume

Mg: magnesium

MPV: mean platelet volume

Pb: lead

PCT: platelet hematocrit

PDW: platelet distribution width

PLT: platelet

RBC: red blood cells

RDW-CV: red cell distribution width coefficient of variation

RDW-SD: red cell distribution width standard deviation

ROC: receiver operating characteristic

TBIL: total bilirubin

TP: total protein

UA: uric acid

WBC: white blood cells

Zn: zinc

γ-GT: gamma-glutamyl transferase

Declarations

Author contributions

YJZ: Conceptualization, Investigation, Methodology, Writing—original draft, Formal analysis, Visualization. MC: Investigation, Data curation, Writing—original draft. XHH: Investigation, Writing—original draft. SEL: Investigation, Writing—original draft. ZL: Conceptualization, Investigation, Writing—original draft, Writing—review & editing, Supervision, Funding acquisition. All authors read and approved the submitted version.

Conflicts of interest

The authors declare that they have no conflicts of interest.

Ethical approval

This study was performed in line with the principles of the Declaration of Helsinki (Version 2024). Approval was granted by the Ethics Committee of Guilin Medical University (No. GYLL2022009).

Consent to participate

Written informed consent was obtained from all individual participants after explaining the goals of the study.

Consent to publication

Not applicable.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Funding

The study was supported by the National Natural Science Foundation of China (No. 32260175) and the Guangxi Key Laboratory Capacity Building Project (Guike LT2600640059). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Copyright

© The Author(s) 2026.

Publisher’s note

Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.

References

Lenka A, Jankovic J. Tremor Syndromes: An Updated Review. Front Neurol. 2021;12:684835. [DOI] [PubMed] [PMC]
Louis ED, Bain PG. Problems and controversies in tremor classification. J Neurol Sci. 2022;435:120204. [DOI] [PubMed]
Welton T, Cardoso F, Carr JA, Chan LL, Deuschl G, Jankovic J, et al. Essential tremor. Nat Rev Dis Primers. 2021;7:83. [DOI] [PubMed]
Jakobs M, Lee DJ, Lozano AM. Modifying the progression of Alzheimer’s and Parkinson’s disease with deep brain stimulation. Neuropharmacology. 2020;171:107860. [DOI] [PubMed]
Tarnacka B, Jopowicz A, Maślińska M. Copper, Iron, and Manganese Toxicity in Neuropsychiatric Conditions. Int J Mol Sci. 2021;22:7820. [DOI] [PubMed] [PMC]
Kawahara M, Tanaka KI, Kato-Negishi M. Zinc, Copper, and Calcium: A Triangle in the Synapse for the Pathogenesis of Vascular-Type Senile Dementia. Biomolecules. 2024;14:773. [DOI] [PubMed] [PMC]
Tardy AL, Pouteau E, Marquez D, Yilmaz C, Scholey A. Vitamins and Minerals for Energy, Fatigue and Cognition: A Narrative Review of the Biochemical and Clinical Evidence. Nutrients. 2020;12:228. [DOI] [PubMed] [PMC]
Dolphin AC, Lee A. Presynaptic calcium channels: specialized control of synaptic neurotransmitter release. Nat Rev Neurosci. 2020;21:21329. [DOI] [PubMed] [PMC]
Lin M, Colon-Perez LM, Sambo DO, Miller DR, Lebowitz JJ, Jimenez-Rondan F, et al. Mechanism of Manganese Dysregulation of Dopamine Neuronal Activity. J Neurosci. 2020;40:587191. [DOI] [PubMed] [PMC]
Chin-Chan M, Montes S, Blanco-Álvarez VM, Aguirre-Alarcón HA, Hernández-Rodríguez I, Bautista E. Relevance of biometals during neuronal differentiation and myelination: in vitro and in vivo studies. Biometals. 2022;35:395427. [DOI]
Gale J, Aizenman E. The physiological and pathophysiological roles of copper in the nervous system. Eur J Neurosci. 2024;60:350543. [DOI]
Voelker R. What Is Essential Tremor? JAMA. 2025;333:181. [DOI] [PubMed]
Rajan R, Pandey S, Anandapadmanabhan R, Srivastava AK. Interrater and intrarater agreement on the 2018 consensus statement on classification of tremors. Mov Disord. 2018;33:19667. [DOI] [PubMed]
Chen L, Min J, Wang F. Copper homeostasis and cuproptosis in health and disease. Signal Transduct Target Ther. 2022;7:378. [DOI] [PubMed] [PMC]
Locatelli M, Farina C. Role of copper in central nervous system physiology and pathology. Neural Regen Res. 2025;20:105868. [DOI] [PubMed] [PMC]
Teschke R, Eickhoff A. Wilson Disease: Copper-Mediated Cuproptosis, Iron-Related Ferroptosis, and Clinical Highlights, with Comprehensive and Critical Analysis Update. Int J Mol Sci. 2024;25:4753. [DOI] [PubMed] [PMC]
Bisaglia M, Bubacco L. Copper Ions and Parkinson's Disease: Why Is Homeostasis So Relevant? Biomolecules. 2020;10:195. [DOI] [PubMed] [PMC]
Desai V, Kaler SG. Role of copper in human neurological disorders. Am J Clin Nutr. 2008;88:855S8S. [DOI] [PubMed]
Eiró LG, Ferreira MKM, Frazão DR, Aragão WAB, Souza-Rodrigues RD, Fagundes NCF, et al. Lead exposure and its association with neurological damage: systematic review and meta-analysis. Environ Sci Pollut Res Int. 2021;28:3700115. [DOI] [PubMed]
Tordera RM, Cortés-Erice M. Role of Histone Deacetylases in Monocyte Function in Health and Chronic Inflammatory Diseases. Rev Physiol Biochem Pharmacol. 2021;180:147. [DOI] [PubMed]
Jackson DJ, Akuthota P, Roufosse F. Eosinophils and eosinophilic immune dysfunction in health and disease. Eur Respir Rev. 2022;31:210150. [DOI] [PubMed] [PMC]
Collins JM, Keane JM, Deady C, Khashan AS, McCarthy FP, O'Keeffe GW, et al. Prenatal stress impacts foetal neurodevelopment: Temporal windows of gestational vulnerability. Neurosci Biobehav Rev. 2024;164:105793. [DOI] [PubMed]
Huang CH, Hsieh CY, Wang CW, Tu HP, Chen SC, Hung CH, et al. Associations and Interactions between Heavy Metals with White Blood Cell and Eosinophil Count. Int J Med Sci. 2022;19:3317. [DOI] [PubMed] [PMC]
Liu Y, Zhu J, Xu L, Wang B, Lin W, Luo Y. Copper regulation of immune response and potential implications for treating orthopedic disorders. Front Mol Biosci. 2022;9:1065265. [DOI] [PubMed] [PMC]
Mulroy E, Baschieri F, Magrinelli F, Latorre A, Cortelli P, Bhatia KP. Movement Disorders and Liver Disease. Mov Disord Clin Pract. 2021;8:82842. [DOI] [PubMed] [PMC]
Schönfeld P, Reiser G. How the brain fights fatty acids' toxicity. Neurochem Int. 2021;148:105050. [DOI] [PubMed]
Teschke R. Copper, Iron, Cadmium, and Arsenic, All Generated in the Universe: Elucidating Their Environmental Impact Risk on Human Health Including Clinical Liver Injury. Int J Mol Sci. 2024;25:6662. [DOI] [PubMed] [PMC]
Ahmad S, Ärnlöv J, Larsson SC. Genetically Predicted Circulating Copper and Risk of Chronic Kidney Disease: A Mendelian Randomization Study. Nutrients. 2022;14:509. [DOI] [PubMed] [PMC]
Gonzalez-Villalva A, Marcela RL, Nelly LV, Patricia BN, Guadalupe MR, Brenda CT, et al. Lead systemic toxicity: A persistent problem for health. Toxicology. 2025;515:154163. [DOI] [PubMed]
Firoozichahak A, Rahimnejad S, Rahmani A, Parvizimehr A, Aghaei A, Rahimpoor R. Effect of occupational exposure to lead on serum levels of lipid profile and liver enzymes: An occupational cohort study. Toxicol Rep. 2022;9:26975. [DOI] [PubMed] [PMC]
Kalogeropoulos P, Sardeli A, Liapis G, Giannakopoulos P, Lionaki S. Nephrotic Syndrome Associated With Heavy Metals Exposure: A Case Report and Literature Review. Cureus. 2024;16:e52029. [DOI] [PubMed] [PMC]
Cite this Article
Export Citation
Zhao YJ, Chen M, Huang XH, Liu SE, Liu Z. Clinical and biochemical alterations in tremor: evidence from serum elements, blood counts, and liver function: a cross-sectional study. Explor Med. 2026;7:1001414. https://doi.org/10.37349/emed.2026.1001414
Article Metrics

View: 102

Download: 5

Times Cited: 0